Этот сайт использует файлы cookies. Продолжая просмотр страниц сайта, вы соглашаетесь с использованием файлов cookies. Если вам нужна дополнительная информация, пожалуйста, посетите страницу Политика файлов Cookie
Subscribe
Прямой эфир
Cryptocurrencies: 8585 / Markets: 116273
Market Cap: $ 2 407 835 017 672 / 24h Vol: $ 116 956 152 622 / BTC Dominance: 58.088697778934%

Н Новости

[Перевод] Учебник — всё, что вам нужно

439d106934cbe443e6ced1fa908d2b40.jpg

Немного вызывающее название статьи отсылает к известной работе Внимание - всё, что вам нужно. На этот раз речь пойдет о качестве данных, на которых обучают LLM. Оказывается, качественный учебник (как концентрат знаний в любой сфере) в разы сокращает потребность и в памяти, и в мощности GPU, и в деньгах инвесторов...

Эта статья - о качестве данных при обучении/файнтюнинге LLM. Классическая работа о количественных данных позволит лучше понять, на что влияет качество датасета: Законы масштабирования нейронных языковых моделей

Авторы: Suriya Gunasekar, Yi Zhang, Jyoti Aneja, Caio C´esar, Teodoro Mendes, Allie Del Giorno, Sivakanth Gopi, Mojan Javaheripi, Piero Kauffmann, Gustavo de Rosa, Olli Saarikivi, Adil Salim, Shital Shah, Harkirat Singh Behl, Xin Wang, Sebastien Bubeck, Ronen Eldan, Adam Tauman Kalai, Yin Tat Lee, Yuanzhi Li. Microsoft Research

2 октября 2023

Аннотация

Мы представляем phi-1, новую большую языковую модель для генерации кода, которая значительно меньше по размеру по сравнению с конкурирующими моделями: phi-1 — это модель на основе архитектуры трансформера с 1,3 миллиардами параметров, обученная в течение 4 дней на 8 A100, с использованием выборки данных "качество-как-в-учебнике" из интернета (6 миллиардов токенов) а также синтетически сгенерированных с помощью GPT-3.5 учебников и упражнений (1 миллиард токенов). Несмотря на такой небольшой масштаб, phi-1 достигает точности pass@1 50,6% на HumanEval и 55,5% на MBPP. Модель также демонстрирует удивительные эмерджентные свойства по сравнению с phi-1-base, нашей моделью до этапа тонкой настройки (файнтюнинга) на наборе данных с упражнениями по программированию, и по сравнению с phi-1-small, меньшей моделью с 350 миллионами параметров, обученной по тому же конвейеру, что и phi-1, которая, однако, всё ещё достигает 45% на HumanEval.

1. Введение

Искусство обучения больших нейронных сетей показало невероятный прогресс за последнее десятилетие, особенно после открытия архитектуры трансформера [*], однако научные знания, стоящие за этим успехом, пока остаются ограниченными. Среди множества запутанных результатов появилось некое подобие порядка примерно в то же время, когда были представлены модели, основанные на трансформере. Было доказано, что производительность предсказуемо улучшается по мере увеличения либо объёма вычислений, либо размера сети [*], явление, которое теперь называют законами масштабирования [*]. Последующие исследования масштабирования в глубоком обучении взяли за основу эти законы масштабирования, и полученные результаты привели к резкому скачку в производительности. В этой работе, следуя по стопам Eldan и Li [*], мы исследуем улучшения, которые можно получить вдоль другой оси: качество данных.

Давно известно, что данные более высокого качества приводят к лучшим результатам, например, очистка данных является важной частью создания современных наборов данных, это также может дать другие дополнительные преимущества, такие как несколько меньшие наборы данных или возможность делать больше проходов по данным. Недавняя работа Eldan и Li над TinyStories (высококачественным набором данных, синтетически сгенерированным для обучения нейронных сетей английскому языку) показала, что эффект высококачественных данных выходит далеко за пределы этого: улучшение качества данных может кардинально изменить форму законов масштабирования, потенциально позволяя достичь производительности больших моделей с гораздо более скромными затратами на обучение модели.

В этой работе мы выходим за рамки первоначального исследования Eldan и Li, чтобы показать, что высококачественные данные могут даже улучшить SOTA больших языковых моделей (LLM), при этом значительно сокращая размер набора данных и объём вычислений для обучения. Важно, что меньшие модели, требующие меньше обучения, могут значительно снизить экологические издержки от LLM.

Мы сосредоточим внимание на LLM, обученных для генерации кода, и, в частности, на написании простых функций на Python, используя их строки документации (docstrings), см. [*]. Бенчмарк, предложенный в последней работе, HumanEval, широко используется для сравнения производительности LLM в генерации кода. Мы демонстрируем мощь высококачественных данных, которые нарушают существующие законы масштабирования, обучая модель с 1,3 миллиардами параметров, которую мы называем phi-1, примерно на 8 проходах по 7 миллиардам токенов (всего чуть более 50 миллиардов токенов) с последующей тонкой настройкой (файнтюнингом) на менее чем 200 миллионах токенов.

Грубо говоря, мы предварительно обучаем на данных с качеством "как в учебнике", как синтетически сгенерированных (с помощью GPT-3.5), так и отфильтрованных из веб-источников, и проводим файнтюнинг на данных, похожих на упражнения из учебника.

Несмотря на то, что модель на несколько порядков меньше конкурирующих моделей как по размеру набора данных, так и по размеру модели (см. Таблицу 1), мы достигаем точности 50,6% pass@1 на HumanEval и 55,5% pass@1 на MBPP (Mostly Basic Python Programs), что является одним из лучших самостоятельно заявленных результатов с использованием только одной генерации LLM.

Таблица 1: Мы используем данные отчетов, если они доступны. Несмотря на то, что phi-1 обучалась на значительно меньшем объеме данных, она превосходит конкурирующие модели по метрикам HumanEval и MBPP, за исключением модели GPT-4 (также WizardCoder показывает лучший результат на HumanEval, но хуже на MBPP).

Дата

Модель

Размер (параметры) модели

Размер датасета (токенов)

HumanEval
(Pass@1)

MBPP
(Pass@1)

Jul 21
Jul 21
Mar 22
Mar 22
Apr 22
Sep 22
Nov 22
Dec 22
Mar 23
Apr 23
Apr 23
May 23
May 23
May 23
May 23
May 23
May 23
May 23
May 23
Jun 23

Codex-300M [CTJ + 21]
Codex-12B [CTJ + 21]
CodeGen-Mono-350M
CodeGen-Mono-16.1B
PaLM-Coder [CND + 22]
CodeGeeX [ZXZ + 23]
GPT-3.5 [Ope23]
SantaCoder [ALK + 23]
GPT-4 [Ope23]
Replit [Rep23]
Replit-Finetuned [Rep23]
CodeGen2-1B [NHX + 23]
CodeGen2-7B [NHX + 23]
StarCoder [LAZ + 23]
StarCoder-Prompted
PaLM 2-S [ADF + 23]
CodeT5+ [WLG + 23]
CodeT5+ [WLG + 23]
InstructCodeT5+
WizardCoder [LXZ + 23]

300M
12B
350M
16.1B
540B
13B
175B
1.1B
N.A.
2.7B
2.7B
1B
7B
15.5B
15.5B
N.A.
2B
16B
16B
16B

100B
100B
577B
577B
780B
850B
N.A.
236B
N.A.
525B
525B
N.A.
N.A.
1T
1T
N.A.
52B
52B
52B
1T

13.2%
28.8%
12.8%
29.3%
35.9%
22.9%
47,00%
14.0%
67,00%
21.9%
30.5%
10.3%
19.1%
33.6%
40.8%
37.6%
24.2%
30.9%
35.0%
57.3%

N.A.
N.A.
N.A.
35.3%
47.0%
24.4%
N.A.
35.0%
N.A.
N.A.
N.A.
N.A.
N.A.
52.7%
49.5%
50.0%
N.A.
N.A.
N.A.
51.8%

Jun 23

phi-1

1.3B

7B

50.6%

55.5%

CodeGen-Mono: [NPH + 23], StarCoder-Prompted: [LAZ + 23], InstructCodeT5+: [WLG + 23]

В Разделе 2 мы приводим некоторые детали нашего процесса обучения и обсуждаем доказательства важности нашего процесса отбора данных для достижения этого результата. Более того, несмотря на обучение на значительно меньшем количестве токенов по сравнению с существующими моделями, phi-1 всё же демонстрирует эмерджентные свойства.

Эмерджентность — это явление, когда в системе возникают новые свойства или поведение, которые не характерны для отдельных её компонентов. Т.е. это проявления феномена, когда целое больше, чем сумма его частей - прим. переводчика.

В Разделе 3 мы обсудим эти эмерджентные свойства и, в частности, подтвердим гипотезу о том, что количество параметров играет ключевую роль в эмерджентности (см., например, [WTB22]), сравнивая вывод модели phi-1 с выводом phi-1-small, модели, обученной по тому же конвейеру, но только с 350 миллионами параметров. Методология, используемая в этом разделе, напоминает работу Sparks of AGI, в которой утверждается, что необходимо отойти от статических бенчмарков для тестирования производительности LLM.

Наконец, в Разделе 4 мы обсудим альтернативные бенчмарки для оценки модели, а в Разделе 5 изучим возможное загрязнение наших обучающих данных в отношении HumanEval. Мы выкладываем модель для использования и оценки широким сообществом, но опускаем некоторые детали синтетической генерации данных по причинам наличия прав собственности.

Другие работы по теме

Наша работа является частью недавней программы использования LLM для синтеза программного кода, дополнительные ссылки на которую см. в [CTJ+21, NPH+22]. Наш подход также является частью тенденции использования существующих LLM для синтеза данных для обучения новых поколений LLM, [WKM+22, TGZ+23, MMJ+23, LGK+23, JWJ+23]. В настоящее время ведутся споры о том, что возможно такое “рекурсивное обучение” приведет к деградации моделей [SZ+23, GUESS+23], противоположную точку зрения смотрите в [MMJ+23].
Обратите внимание, что в этой статье мы фокусируемся на узкой задаче, аналогично [JWJ +23], при которой достижение лучшей производительности, чем у исходной LLM, кажется реалистичным (что и доказывается статье).

2. Детали обучения и важность высококачественных данных

Рисунок 2.1: Точность Pass@1 (%) на HumanEval. Группировка столбчатых диаграмм соответствует: 1)обычным параметрам масштабирования, 2)увеличению времени вычислений (больше проходов по данным, здесь от 26 млрд токенов до 76 млрд), 3)увеличению количества параметров модели (здесь от 350 млн до 1.3 млрд). Каждый столбец внутри группы соответствует различным обучающим наборам данных: (A) Первый (оранжевый) столбец представляет производительность моделей, обученных на стандартном наборе данных с Python-файлами из The Stack (плюс StackOverflow для модели с 1.3 млрд параметров); (B) Второй (светло-синий) столбец представляет производительность моделей, обученных на нашем новом наборе данных CodeTextbook; (C) Наконец, третий (темно-синий) столбец соответствует моделям второй колонки, дообученным на нашем новом наборе данных CodeExercises.
Рисунок 2.1: Точность Pass@1 (%) на HumanEval. Группировка столбчатых диаграмм соответствует: 1)обычным параметрам масштабирования, 2)увеличению времени вычислений (больше проходов по данным, здесь от 26 млрд токенов до 76 млрд), 3)увеличению количества параметров модели (здесь от 350 млн до 1.3 млрд). Каждый столбец внутри группы соответствует различным обучающим наборам данных: (A) Первый (оранжевый) столбец представляет производительность моделей, обученных на стандартном наборе данных с Python-файлами из The Stack (плюс StackOverflow для модели с 1.3 млрд параметров); (B) Второй (светло-синий) столбец представляет производительность моделей, обученных на нашем новом наборе данных CodeTextbook; (C) Наконец, третий (темно-синий) столбец соответствует моделям второй колонки, дообученным на нашем новом наборе данных CodeExercises.

Для моделей с 1.3 млрд параметров phi-1 и phi-1-base являются контрольными точками после обучения на 51 млрд токенов (770 GPU-часов), а модель The Stack+ была обучена на 76 млрд токенов и 1090 GPU-часов. Мы подчеркиваем, что даже без какого-либо дообучения наша модель phi-1-base, обученная на наборе данных CodeTextbook, достигает 29% производительности на HumanEval при всего 1.3 млрд параметров. Предыдущая самая маленькая модель, достигшая около 30% производительности на HumanEval, это Replit-Finetuned с 2.7 млрд параметров, которая была обучена на объеме токенов в 100 раз больше, чем наша [Rep23]. Кроме того, дообучение на нашем наборе данных CodeExercises для получения phi-1 не только дало нам максимальную производительность 51% на HumanEval, но и раскрыло дополнительные неожиданные возможности кодирования (см. Раздел 3).

Как намекает название статьи, ключевым ингредиентом нашей модели являются данные обучения "качества как в учебнике". В отличие от предыдущих работ, которые использовали стандартные источники текстовых данных для генерации кода, такие как The Stack (содержащий исходный код из репозиториев с разрешающими лицензиями) и другие веб-наборы данных (например, StackOverflow и CodeContest [*]), мы утверждаем, что эти источники не оптимальны для обучения модели алгоритмическому мышлению и планированию. С другой стороны, архитектура нашей модели и методы обучения довольно традиционны (Раздел 2.3), поэтому этот раздел мы посвящаем в основном объяснению того, как мы отбирали наши данные.

Стандартные наборы данных для кода [*, *] представляют собой большой и разнообразный корпус, охватывающий широкий спектр тем и случаев использования. Однако, основываясь на ручном анализе случайных выборок, мы можем сказать, что многие из этих фрагментов кода далеко не очень полезны для изучения основ программирования и страдают от нескольких недостатков:

  • Многие примеры не самодостаточны, то есть они зависят от других модулей или файлов, внешних по отношению к фрагменту, что делает их трудными для понимания без дополнительного контекста.

  • Типичные примеры не содержат значимых вычислений, а скорее состоят из тривиального или шаблонного кода, такого как определение констант, установка параметров или настройка элементов графического интерфейса.

  • Примеры, содержащие алгоритмическую логику, часто скрыты внутри сложных или плохо документированных функций, что затрудняет их понимание или изучение.

  • Примеры смещены в сторону определённых тем или случаев использования, что приводит к несбалансированному распределению концепций и навыков программирования в наборе данных.

Можно представить, насколько неэффективной и полной разочарований стала бы попытка человека освоить навыки программирования по таким наборам данных, так как ему пришлось бы иметь дело с большим количеством шума, неоднозначности и неполноты данных.

Мы предполагаем, что эти проблемы также влияют на производительность языковых моделей, поскольку они снижают качество и количество сигналов, которые связывают естественный язык с кодом. Мы предполагаем, что языковые модели выиграют от обучающего набора данных, который обладает теми же качествами, что и хороший "учебник": он должен быть ясным, самодостаточным, поучительным и сбалансированным.

В этой работе мы напрямую решаем эту проблему и показываем, что целенаправленно отбирая и генерируя высококачественные данные можно достичь современных результатов в задачах генерации кода с гораздо меньшим размером модели и меньшими вычислительными затратами, чем существующие подходы. Наше обучение основывается на трёх основных наборах данных:

  • Отфильтрованный набор данных "код-язык", который представляет собой подмножество The Stack и StackOverflow, полученное с использованием классификатора на основе языковой модели (состоящий из около 6 миллиардов токенов).

  • Синтетический датасет "учебников", состоящий из менее чем 1 миллиарда токенов учебников по Python, сгенерированных GPT-3.5.

  • Небольшой датасет "упражнения", состоящий из ~180 миллионов токенов упражнений и решений на Python.

Мы подробно описываем эти наборы данных в следующих подразделах. В совокупности вышеуказанные наборы данных содержат менее 7 миллиардов токенов. Мы называем "CodeTextbook" комбинацию отфильтрованного набора данных "код-язык" и синтетического набора данных "учебников" и используем его на этапе предварительного обучения для получения нашей базовой модели phi-1-base — эта модель уже достигает конкурентоспособной производительности на HumanEval в 29%.

Затем мы используем набор данных "упражнения" из 180 миллионов токенов, называемый "CodeExercises", для файнтюнинга нашей модели phi-1-base для создания phi-1. Несмотря на небольшой размер набора данных "CodeExercises", файнтюнинг с этим набором данных имеет решающее значение не только для значительного улучшения генерации простых функций на Python, как показано на Рисунке 2.1, но и для разблокировки многих интересных эмерджентных возможностей в нашей модели phi-1, которые не наблюдаются в phi-1-base (см. Раздел 3).

2.1 Фильтрация существующих наборов данных с использованием классификатора на основе трансформера

Мы начинаем с общедоступных наборов данных на Python: используем подмножество Python из дедуплицированной версии The Stack и StackOverflow, которые вместе содержат более 35 миллионов файлов/примеров, всего более 35 миллиардов токенов.

Мы аннотируем качество небольшого подмножества этих файлов (около 100 тысяч примеров) с помощью GPT-4: для каждого фрагмента кода у GPT-4 запрашивается: "определить образовательную ценность для студента, цель которого — изучить основные концепции программирования".

Затем мы используем этот аннотированный набор данных для обучения классификатора на основе случайного леса, который предсказывает качество файла/примера, используя выдачу из предварительно обученной codegen-модели в виде соответствующих признаков. Мы отмечаем, что, в отличие от GPT-3.5, который мы активно используем для генерации синтетического контента (обсуждается ниже), мы используем GPT-4 минимально только для аннотирования качества небольшого подмножества примеров из The Stack и StackOverflow. Таким образом, мы рассматриваем использование GPT-4 как способ избежать утомительных усилий по ручному аннотированию [*].

Образовательная ценность, определенная фильтром / Высокая ценность (слева) / Низкая ценность (справа)
Образовательная ценность, определенная фильтром / Высокая ценность (слева) / Низкая ценность (справа)
Код выше в формате python:
# Высокая ценность

import torch
import torch.nn.functional as F

def normalize(x, axis=-1):
    """Performs L2-Norm."""
    num = x
    denom = torch.norm(x, 2, axis, keepdim=True)
    .expand_as(x) + 1e-12
    return num / denom

def euclidean_dist(x, y):
    """Computes Euclidean distance."""
    m, n = x.size(0), y.size(0)
    xx = torch.pow(x, 2).sum(1, keepdim=True).
    expand(m, n)
    yy = torch.pow(x, 2).sum(1, keepdim=True).
    expand(m, m).t()
    dist = xx + yy - 2 * torch.matmul(x, y.t())
    dist = dist.clamp(min=1e-12).sqrt()
    return dist

def cosine_dist(x, y):
    """Computes Cosine Distance."""
    x = F.normalize(x, dim=1)
    y = F.normalize(y, dim=1)
    dist = 2 - 2 * torch.mm(x, y.t())
    return dist
# Низкая ценность

import re
import typing
...

class Default(object):
    def __init__(self, vim: Nvim) -> None:
        self._vim = vim
        self._denite: typing.Optional[SyncParent] = None
        self._selected_candidates: typing.List[int] = []
        self._candidates: Candidates = []
        self._cursor = 0
        self._entire_len = 0
        self._result: typing.List[typing.Any] = []
        self._context: UserContext = {}
        self._bufnr = -1
        self._winid = -1
        self._winrestcmd = ''
        self._initialized = False
        self._winheight = 0
        self._winwidth = 0
        self._winminheight = -1
        self._is_multi = False
        self._is_async = False
        self._matched_pattern = ''
        ...

Наш метод фильтрации значительно повышает производительность модели даже без использования синтетических наборов данных, описанных ниже: для моделей с 350 миллионами параметров, обученных на неотфильтрованном Stack (дедуплицированный Python) и StackOverflow, производительность на HumanEval достигает предела на уровне 12,19%, даже после 96 тысяч шагов обучения (~200 млрд токенов). При этом обучение на отфильтрованном подмножестве данных даёт результат 17,68% на HumanEval уже после 36 тысяч шагов. Мы дополнительно улучшили этот показатель до 20,12% (см. рисунок 2.1), обучая модель на комбинации отфильтрованного набора данных и синтетического набора данных из учебников, описанного ниже.

2.2 Создание синтетических наборов данных с "качеством учебника"

Одной из основных проблем при создании высококачественного набора данных для генерации кода является обеспечение того, чтобы примеры были разнообразными и не повторялись.

Под разнообразием мы понимаем, что примеры должны охватывать широкий спектр концепций, навыков и сценариев программирования, а также варьироваться по уровню сложности, стилю и структуре. Разнообразие важно по нескольким причинам: оно знакомит языковую модель с различными способами выражения и решения задач в коде, снижает риск переобучения или запоминания конкретных шаблонов или решений, а также повышает возможности обобщения и устойчивость модели к новым или незнакомым задачам. Однако достижение разнообразия — нетривиальная задача, особенно при использовании синтетических данных, сгенерированных другой языковой моделью. Простое указание модели создать учебник по программированию или набор упражнений, даже с некоторыми вариациями в инструкциях или параметрах, скорее всего, приведёт к созданию однородного и избыточного набора данных, где одни и те же концепции и решения повторяются с незначительными изменениями. Это происходит потому, что языковые модели склонны следовать наиболее вероятным или распространённым путям, исходя из их обучающих данных и априорных знаний, и у них нет стимула или творческого подхода для исследования альтернативных или новых способов генерации кода. Поэтому необходимо найти правильный "трюк", который заставит языковую модель быть более креативной и разнообразной в своих выводах, сохраняя при этом качество и связность примеров.

Вдохновлённые работой [*], в которой путём включения случайного подмножества слов из фиксированного словаря в запрос и требования их комбинирования в сгенерированном тексте был создан разнообразный набор коротких историй, мы ищем способы внедрения случайности в запрос таким образом, чтобы это способствовало созданию набора данных с высоким разнообразием.

Синтетический набор данных "учебников"

Этот набор данных состоит из менее чем 1 миллиарда токенов учебников по Python, сгенерированных GPT-3.5, и предназначен для предоставления высококачественного источника текста с естественным языком, перемежающегося соответствующими фрагментами кода. Мы также ориентировали содержание этих учебников на темы, которые способствуют развитию логического мышления и базовых алгоритмических навыков. Разнообразие достигается за счёт наложения ограничений на темы и целевую аудиторию генерируемого учебника. Вот пример текста из синтетического учебника:

Для начала давайте определим, что такое сингулярные и несингулярные матрицы. Матрица называется сингулярной, если её определитель равен нулю. С другой стороны, матрица называется несингулярной, если её определитель не равен нулю. Теперь давайте рассмотрим эти концепции на примерах.

Пример 1: Рассмотрим матрицу A = np.array([[1, 2], [2, 4]]). Мы можем проверить, является ли эта матрица сингулярной или несингулярной, используя функцию определителя. Мы можем определить функцию на Python, is_singular(A), которая возвращает True, если определитель A равен нулю, и False в противном случае.

import numpy as np
def is_singular(A):
    det = np.linalg.det(A)
    if det == 0:
        return True
    else:
        return False

A = np.array([[1, 2], [2, 4]])
print(is_singular(A)) # True

Набор данных "CodeExercises"

Это небольшой синтетический набор данных "упражнения", состоящий из менее чем 180 миллионов токенов упражнений и решений на Python. Каждое упражнение представляет собой строку документации функции, которую необходимо завершить. Цель этого набора данных — настроить модель на выполнение задач по завершению функций на основе инструкций на естественном языке. Этот набор данных также был сгенерирован GPT-3.5, где основным способом достижения разнообразия является ограничение на имена функций. Для этого набора данных мы проводим явную деконтаминацию и альтернативные оценки в следующих разделах, чтобы убедиться, что задачи, похожие на те, что представлены в бенчмарке HumanEval, не встречаются во время файнтюнинга. Следующий фрагмент иллюстрирует синтетически сгенерированное упражнение:

def valid_guessing_letters(word: str, guesses: List[str]) -> List[str]:
    """
    Returns a list of valid guessing letters, which are letters that have not been guessed yet and
    are present in the word.
    Parameters:
    word (str): The word to guess.
    guesses (List[str]): A list of letters that have already been guessed.
    Returns:
    List[str]: A list of valid guessing letters.
    """
    valid_letters = []
    for letter in word:
        if letter not in guesses and letter not in valid_letters:
            valid_letters.append(letter)
    return valid_letters

2.3. Архитектура модели и обучение

Мы использовали трансформер с декодером [*], использующий реализацию FlashAttention для многоголового внимания (MHA) [*]. Также мы применили MHA и слои MLP в параллельной конфигурации, следуя недавним моделям, таким как CodeGen [*], PaLM [*] и GPT-NeoX [*].

Архитектура нашей модели phi-1 с 1.3 миллиардами параметров состоит из 24 слоев, скрытой размерности 2048, внутренней размерности MLP 8192 и 32 голов внимания размерностью 64 каждая.

Меньшая модель phi-1-small с 350 миллионами параметров имеет 20 слоев, скрытую размерность 1024, внутреннюю размерность MLP 4096 и 16 голов внимания размерностью 64 каждая.

Мы также использовали вращающийся позиционный эмбеддинг (rotary position embedding) [*] с размерностью вращения 32. Эти архитектурные решения были заимствованы из [*]. Мы использовали тот же токенизатор, что и в codegen-350M-mono [*]. Помимо FlashAttention, наши модели не используют другие техники, такие как Fill-In-the-Middle (FIM) [*] или Multi-Query-Attention (MQA) [*], которые могли бы дополнительно повысить производительность и эффективность [*].

Для предобучения и дообучения (файнтюнинга) мы объединили соответствующие наборы данных в одномерный массив, используя токен «⟨∣endoftext∣⟩» для разделения файлов. Мы обучали наши модели на последовательностях длиной 2048, взятых из нашего массива данных с функцией потерь прогнозирования следующего токена. Обучение проводилось с использованием fp16, оптимизатора AdamW, линейного графика обучения с разогревом и затуханием, а также внимания и остаточного dropout на уровне 0,1. Обучение выполнялось на 8 GPU Nvidia A100 с использованием deepspeed. Наша базовая предобученная модель phi-1-base была получена менее чем за 4 дня обучения. Дообучение (файнтюнинг) для получения phi-1 заняло дополнительные 7 часов на том же оборудовании.

Предобучение (Pretraining)

phi-1-base был обучен на датасете CodeTextbook (отфильтрованный корпус кода и синтетические учебники). Мы использовали эффективный размер батча 1024 (включая параллелизм данных и накопление градиентов), максимальную скорость обучения 1e-3 с разогревом в течение 750 шагов и коэффициентом регуляризации весов 0,1 всего за 36,000 шагов. Мы использовали контрольную точку на 24,000 шаге в качестве нашей phi-1-base — это эквивалентно примерно 8 эпохам на нашем наборе данных CodeTextbook, что составляет чуть более 50 миллиардов тренировочных токенов. Несмотря на малый размер и вычислительные ресурсы, эта модель уже достигает точности 29% на HumanEval.

Файнтюнинг

phi-1 получена путем файнтюнинга phi-1-base на наборе данных CodeExercises. Для файнтюнинга мы использовали ту же настройку, что и для предобучения, но с другими гиперпараметрами: эффективный размер батча 256, максимальная скорость обучения 1e-4 с разогревом в течение 50 шагов и коэффициентом регуляризации весов 0.01. Мы обучали модель в течение общего количества шагов 6000 и выбирали лучшую контрольную точку (сохраняемую каждые 1000 шагов).

3. Скачок возможностей модели после файнтюнинга на наборе CodeExercises

На Рисунке 2.1 показано, что наибольшее улучшение в результатах на HumanEval было достигнуто благодаря файнтюнингу на небольшом наборе данных CodeExercises (<200 млн токенов). CodeExercises состоит исключительно из коротких задач на Python с использованием только базовых библиотек. В этом разделе мы продемонстрируем интересный факт: модель после дообучения показывает значительное улучшение также в выполнении задач, которые не представлены в наборе данных для дообучения. В том числе управление сложными алгоритмическими задачами и использование внешних библиотек.

Это позволяет предположить, что процесс файнтюнинга мог помочь модели реорганизовать и закрепить знания, полученные во время предварительного обучения, даже если такие знания явно не присутствуют в нашем наборе данных CodeExercises. В этом разделе мы сосредоточимся на качественном сравнении возможностей нашей дообученной модели phi-1 и её базовой модели phi-1-base с 1,3 млрд параметров.

3.1 Файнтюнинг улучшает понимание модели

Используя простую функцию Python, которую мы создали самостоятельно, мы наблюдаем, что модель демонстрирует значительно более высокий уровень понимания и соответствия инструкциям после файнтюнинга. В частности, мы видим, что phi-1-base испытывает трудности с логическими связями в запросах, в то время как phi-1 может интерпретировать вопрос и сгенерировать правильный ответ. В этом примере даже наша 350-миллионная модель phi-1-small показывает некоторый уровень понимания проблемы, хотя итоговое решение оказывается неверным. Мы наблюдаем такие тенденции последовательно в процессе наших взаимодействий с моделью, см. другой пример в Приложении A.

Промпт:    Алиса, Боб и Чарльз играют в игру. Сначала Алиса выбирает случайное число от 333 до 678, затем Боб выбирает число от числа Алисы до 888, а затем Чарльз выбирает число от 123 до числа Боба. Алиса получает одно очко, если разность числа Алисы и числа Чарльза делится на целую часть квадратного корня из числа Боба. В противном случае Боб получает одно очко. Смоделируйте очки Алисы и Боба за 30 итераций.
Промпт: Алиса, Боб и Чарльз играют в игру. Сначала Алиса выбирает случайное число от 333 до 678, затем Боб выбирает число от числа Алисы до 888, а затем Чарльз выбирает число от 123 до числа Боба. Алиса получает одно очко, если разность числа Алисы и числа Чарльза делится на целую часть квадратного корня из числа Боба. В противном случае Боб получает одно очко. Смоделируйте очки Алисы и Боба за 30 итераций.
Код предыдущего примера:
# phi-1

points = [0, 0]
for i in range(30):
    alice_num = random.randint(333, 678)
    bob_num = random.randint(alice_num, 888)
    charles_num = random.randint(123, bob_num)
    if (alice_num - charles_num) % int(bob_num ** 0.5) == 0:
        points[0] += 1
    else:
        points[1] += 1
    return f"Alice: {points[0]}, Bob: {points[1]}"
# phi-1-base

self.points = 0
self.alice = 333
self.bob = 678
self.charles = 888
self.bob_points = 0
self.alice_points = 0
self.iterations = 30
self.alice_turn = True
self.bob_turn = True
self.alice_turn_points = 0
self.bob_turn_points = 0
self.alice_turn_points_history = []
self.bob_turn_points_history = []
self.alice_turn_points_history.append(self.alice_points)
self.bob_turn_points_history.append(self.bob_points)
# phi-1-small

indices = []
import random
alice_points = 0
bob_points = 0
for i in range(30):
    alice_num = random.randint(333, 678)
    bob_num = random.randint(123, bob_num)
    if (alice_num - bob_num) % math.floor(math.sqrt(bob_num)) == 0:
        alice_points += 1
    if (i % 2) == 0:
        bob_points += 1
print(f"Alice gets {alice_points} points, while Bob gets {bob_points} points.")

3.2. Файнтюнинг улучшает способность модели использовать внешние библиотеки

Мы продемонстрируем, что дообучение на наборе CodeExercises неожиданно улучшает способность модели использовать внешние библиотеки, такие как Pygame и Tkinter, несмотря на то, что наши упражнения не содержат этих библиотек. Это позволяет предположить, что наше дообучение не только улучшает выполнение целевых задач, но также облегчает извлечение знаний для несвязанных задач, полученных в ходе предварительного обучения. Для справки, на Рисунке 3.1 показано распределение импортов пакетов в нашем наборе данных CodeExercises.

Рисунок 3.1: Количество импортов среди ∼880 тыс. упражнений в CodeExercises (мы игнорируем библиотеки, импортированные менее 10 раз). Код для построения графика был сгенерирован моделью phi-1 по запросу:«У меня есть словарь, сначала отсортируйте его по значениям от наибольшего к наименьшему. Затем постройте столбчатую диаграмму с помощью pyplot. Сначала установите размер шрифта 7, затем поверните метки на оси X на 90 градусов. Ось X — это ключи, ось Y — значения словаря. Используйте логарифмическую шкалу для оси Y. Кроме того, установите метку оси Y как «Log Number of Times», а метку оси X как «Imports». Установите dpi на 1000.»
Рисунок 3.1: Количество импортов среди ∼880 тыс. упражнений в CodeExercises (мы игнорируем библиотеки, импортированные менее 10 раз). Код для построения графика был сгенерирован моделью phi-1 по запросу:
«У меня есть словарь, сначала отсортируйте его по значениям от наибольшего к наименьшему. Затем постройте столбчатую диаграмму с помощью pyplot. Сначала установите размер шрифта 7, затем поверните метки на оси X на 90 градусов. Ось X — это ключи, ось Y — значения словаря. Используйте логарифмическую шкалу для оси Y. Кроме того, установите метку оси Y как «Log Number of Times», а метку оси X как «Imports». Установите dpi на 1000.»

Пример с PyGame

Мы начинаем с запроса к модели, в котором просим сгенерировать код для перемещения мяча в PyGame:

Промпт:   Напишите код на PyGame. Есть мяч. На каждой итерации:  1. Координата X мяча увеличивается на случайное целое число в диапазоне (-10, 10).  2. Координата Y мяча увеличивается на случайное целое число в диапазоне (-20, 20).  Координата X мяча должна оставаться в пределах от 0 до 400, а координата Y — в пределах от 0 до 600.  Когда пользователь нажимает пробел, установите координату X мяча на 200, а координату Y — на 400.
Промпт: Напишите код на PyGame. Есть мяч. На каждой итерации: 1. Координата X мяча увеличивается на случайное целое число в диапазоне (-10, 10). 2. Координата Y мяча увеличивается на случайное целое число в диапазоне (-20, 20). Координата X мяча должна оставаться в пределах от 0 до 400, а координата Y — в пределах от 0 до 600. Когда пользователь нажимает пробел, установите координату X мяча на 200, а координату Y — на 400.
Код примеров:
# phi-1
...
screen = pygame.display.set_mode((400, 600))
x, y = 0, 0
while True:
    for event in pygame.event.get():
    ...
        elif event.type == pygame.KEYDOWN:
            if event.key == pygame.K_SPACE:
                x = 200
                y = 400
    x += random.randint(-10, 10)
    y += random.randint(-20, 20)
    if x < 0:
        x = 0
    elif x > 400:
        x = 400
    if y < 0:
        y = 0
    elif y > 600:
        y = 600
    screen.fill((255, 255, 255))
    pygame.draw.circle(screen, (255, 0, 0), (x, y), 10)
    pygame.display.update()
# phi-1-base
...
ball_x = random.randint(-10, 10)
ball_y = random.randint(-20, 20)
ball_vx = random.randint(-5, 5)
ball_vy = random.randint(-5, 5)
...
screen = pygame.display.set_mode((800, 600))
...
while not done:
    for event in pygame.event.get():
    ...
    elif event.type == pygame.KEYDOWN:
        if event.key == pygame.K_SPACE:
            ball_x = 200
            ball_y = 400
    ball_x += ball_vx
    ball_y += ball_vy
    ball_vx += ball
    pygame.display.flip()
# phi-1-small
...
x, y = 0, 0
dx, dy = random.randint(-10, 10), random.randint(-20, 20)
while True:
    screen.fill((0, 0, 0))
    pygame.draw.rect(screen, (255, 255, 255), (x, y, 400, 600))
    pygame.display.update()
    x += dx
    y += dy
    if x + dx > 400:
        dx = -dx
    elif x + dx < 0:
        dx = dx
    if y + dy > 600:
        dy = -dy
    elif y + dy < 0:
        dy = dy
    pygame.time.wait(50)

Приведенный выше фрагмент кода показывает основной цикл простой программы на PyGame, в которой мяч отскакивает на экране. Модель phi-1 корректно применяет функции PyGame для обновления и отрисовки мяча, следуя инструкциям из запроса. Модели phi-1-base и phi-1-small генерируют вызовы функций, которые синтаксически правильны, но семантически не соответствуют задаче. Мы видим, что phi-1-base демонстрирует некоторую способность использовать соответствующие вызовы API, но не может следовать логике задачи, в то время как phi-1-small после дообучения понимает логику, но не обладает достаточной емкостью для изучения правильных вызовов функций.

Пример с TKinter

Наш второй пример — это приложение на TKinter, в котором мы просим модель обновлять текстовое поле в зависимости от нажатия кнопок.

Промпт:    Напиши приложение на tkinter. В верхней части находится текстовое поле, внизу — кнопка "Submit", а рядом с ней — кнопка "Recover". При нажатии на кнопку "Submit" получи текст из текстового поля и сохрани его в глобальную строку s. Если текст содержит слово "pew", обновите текст в текстовом поле на "pewpewpew?". В противном случае добавьте в конец текста "no pew...". При нажатии на кнопку "Recover" замените текст в текстовом поле на значение строки s.
Промпт: Напиши приложение на tkinter. В верхней части находится текстовое поле, внизу — кнопка "Submit", а рядом с ней — кнопка "Recover". При нажатии на кнопку "Submit" получи текст из текстового поля и сохрани его в глобальную строку s. Если текст содержит слово "pew", обновите текст в текстовом поле на "pewpewpew?". В противном случае добавьте в конец текста "no pew...". При нажатии на кнопку "Recover" замените текст в текстовом поле на значение строки s.
Код выше:
# phi-1

...
global s
s = ""
def submit():
    global s
    text = textfield.get()
    if "pew" in text:
        textfield.delete(0, tk.END)
        textfield.insert(0, "pewpewpew...")
    else:
        textfield.delete(0, tk.END)
        textfield.insert(0, text + "no pew...")
    s = text

def recover():
    global s
    textfield.delete(0, tk.END)
    textfield.insert(0, s)

textfield = tk.Entry(root)
textfield.pack()
submit_button = tk.Button(root, text="Submit", command=submit)
submit_button.pack()
recover_button = tk.Button(root, text="Recover", command=recover)
recover_button.pack()
root.mainloop()
# phi-1-base

global s
s = s.replace("pew", "pewpewpew")
if "pew" in s:
    s = s.replace("pew", "pewpewpew")
else:
    s = s + "no pew..."
text.delete(0.0, END)
text.insert(0.0, s)
def main():
    global s
    s = "pewpewpew"
    text.delete(0.0, END)
    text.insert(0.0, s)
    text.tag_add("button", "<Button-1>", "<Button-3>")
    text.tag_add("button", "<Button-2>", "<Button-4>")
    # The model keeps adding buttons from here
# phi-1-small

import tkinter as tk
root = tk.Tk()
global s
text = ""
while True:
    event, values = tk.popup()
    if event == "submit":
        text += values.split()[0] + " "
    elif event == "textfield":
        s += values.split()[0] + " "
    elif event == "submit-button-text":
        text = values.split()[0] + " "
    elif event == "text-button-text":
        s = text
    if "pew" in text:
        text = text.replace("pew", "pewpewpew")
    if "no pew" in text:
        break
tk.destroy()

Результаты выполнения трех моделей демонстрируют значительный разрыв в их понимании запросов. И phi-1-base, и phi-1-small не смогли использовать правильные API Tkinter и создали бессмысленные вызовы функций. С другой стороны, phi-1 корректно реализовала графический интерфейс и все функции (за исключением небольшой ошибки в копировании строки "pewpewpew?"). В Приложении A мы приводим два дополнительных примера для pytorch и pyplot.

Пример в режиме чата.

Наконец, мы покажем, что phi-1 обладает лучшими способностями к ведению диалога по сравнению с phi-1-base, несмотря на то, что данные для чата присутствовали только на этапе предварительного обучения, а не файнтюнинга.

Промпт:   Студент: У меня есть график на Python pyplot, я хочу увеличить его разрешение и повернуть. Что мне делать?  Ассистент:
Промпт: Студент: У меня есть график на Python pyplot, я хочу увеличить его разрешение и повернуть. Что мне делать? Ассистент:

Ответ phi-1:

  1. Установите параметр dpi на желаемое разрешение (например, 300 для 300 DPI).

  2. Используйте функцию rotate из модуля matplotlib.pyplot, чтобы повернуть график на 90 градусов по часовой стрелке.

Пример:

import matplotlib.pyplot as plt  

fig, ax = plt.subplots()  
ax.plot([1, 2, 3], [4, 5, 6])  
# Установите разрешение на 300 DPI  
ax.set_dpi(300)  
# Поверните график на 90 градусов по часовой стрелке  
ax.rotate(90)  

Ответ phi-1-base:
Вы можете использовать функцию setp() для установки разрешения и функцию set_rotation() для поворота графика. <|endoftext|>

Ответ phi-1-small:
Я — график на Python pyplot, и я хочу увеличить его разрешение и повернуть. Что мне делать?
ВТОРОЙ:
Я — график на Python pyplot, и я хочу увеличить его разрешение и повернуть. Что мне делать?
ТРЕТИЙ:...

4. Оценка на нестандартных задачах с использованием LLM-оценки (LLM grading)

Одной из потенциальных проблем, связанных с удивительно высокой производительностью модели phi-1 на HumanEval (см. Таблицу 1 и Рисунок 2.1), может быть запоминание данных из-за возможного загрязнения синтетического набора данных CodeExercises. Мы изучим это потенциальное загрязнение напрямую в Разделе 5, а в этом разделе рассматрим эту проблему с помощью новой оценки, которая была разработана достаточно нестандартно, чтобы её появление в нашем обучающем наборе данных было маловероятно.

Чтобы минимизировать предвзятость и утечку данных, новые задачи для оценки были созданы специальной командой, которая не имела доступа к набору данных CodeExercises или финальной модели. Они создали 50 новых задач в том же формате, что и HumanEval, с инструкциями разработать задачи, которые вряд ли появятся в реальных базах кода или в качестве учебных упражнений. Вот пример такой задачи:

"""      Эта функция принимает два списка целых чисел, сортирует каждый из них по возрастанию,      объединяет их, возводит в квадрат элементы на четных индексах, фильтрует элементы, меньшие чем my_threshold, и затем удаляет дубликаты. Результирующий список возвращается.      """
""" Эта функция принимает два списка целых чисел, сортирует каждый из них по возрастанию, объединяет их, возводит в квадрат элементы на четных индексах, фильтрует элементы, меньшие чем my_threshold, и затем удаляет дубликаты. Результирующий список возвращается. """

Одной из сложностей оценки языковых моделей на задачах по программированию является то, что вывод модели часто бинарный: либо код проходит все unit-тесты, либо не проходит. Однако это не отражает нюансов производительности модели, так как она может сгенерировать код, который почти правильный, но содержит небольшую ошибку, или код, который полностью неверен, но случайно проходит некоторые тесты. Более информативным способом оценки навыков модели может быть сравнение её вывода с правильным решением и выставление оценки на основе того, насколько хорошо оно соответствует ожидаемой логике. Это похоже на то, как люди оцениваются на собеседованиях по программированию, где интервьюер не только запускает код, но и анализирует рассуждения и качество решения.

Для оценки решений мы используем подход, при котором GPT-4 выступает в роли оценщика (как, например, в [*]). Этот подход имеет два преимущества:

(1) используя GPT-4 в качестве оценщика, мы можем использовать его знания и генеративные способности для получения более детального и осмысленного сигнала о способностях модели к программированию, и

(2) это устраняет необходимость в тестах.

Наш запрос инструктирует LLM оценить решение студента сначала в краткой вербальной оценке, а затем выставить оценку от 0 до 10.

Таблица 2: Оценки понимания (Understanding scores) на 50 новых нестандартных задачах по программированию, выставленные с использованием LLM.

Модель

Размер

Токенов обучения

Оценка

Human-Eval

CodeGen-Mono-350M [NPH+23]

CodeGen-Mono-16.1B [NPH+23]

Replit [Rep23]

StarCoder [LAZ+23]350M

350M

16.1B

2.7B

15.5B

577B

577B

525B

1T

19%

38%

37%

51%

13%

29%

22%

34%

phi-1-base

phi-1-small

phi-1

1.3B

350M

1.3B

7B

7B

7B

37%

45%

52%

29%

45%

51%

См. Таблицу 2 для наших результатов с phi-1 и конкурирующими моделями. Оценки на наших новых нестандартных задачах дают тот же рейтинг, что и HumanEval (см. Таблицу 1). phi-1 снова демонстрирует результат значительно выше, чем StarCoder, как и на HumanEval. Учитывая, что новые задачи не могли загрязнить обучающие данные и, более того, были разработаны так, чтобы находиться за пределами распределения обучающих данных, эти результаты значительно повышают нашу уверенность в достоверности производительности phi-1.

5. Удаление (очистка) данных для объективной оценки производительности

На Рисунке 2.1 мы видим, что обучение на наборе данных CodeExercises приводит к значительному улучшению производительности модели на бенчмарке HumanEval. Чтобы исследовать это улучшение, мы предлагаем "очистить" набор данных CodeExercises, удалив файлы, которые "похожи" на те, что содержатся в HumanEval. Этот процесс можно рассматривать как "строгую форму" дезактивации данных. Затем мы повторно обучаем нашу модель на таких очищенных данных и всё ещё наблюдаем высокую производительность на HumanEval. В частности, даже после агрессивного удаления более 40% набора данных CodeExercises (это включает удаление файлов, которые лишь отдалённо похожи на HumanEval, см. Приложение C), повторно обученная модель phi-1 всё равно превосходит StarCoder.

Мы считаем, что такой эксперимент с удалением данных является справедливым способом оценки производительности и более информативным, чем стандартные исследования "загрязнения" в литературе, которые обычно основаны на измерении пересечения между обучающими и тестовыми данными (например, Раздел 4.8 в [*]). Для полноты картины мы начинаем этот раздел с проведения стандартного эксперимента на загрязнение, который показывает, что CodeExercises не загрязнён данными из HumanEval в этом стандартном смысле.

5.1 Перекрытие N-грамм

N-граммы измеряют схожесть текстовых сегментов на основе общих последовательностей из n слов. Мы вычисляем перекрытие n-грамм между строками документации (docstrings) каждого вопроса из HumanEval и каждого упражнения из набора данных CodeExercises, который был нами сгенерирован. Мы обнаружили 4 вопроса из HumanEval с перекрытием 13-грамм хотя бы с одним элементом в нашем наборе данных. После дальнейшего исследования выяснилось, что все 4 случая перекрытия в 13-граммах являются ложными срабатываниями, как в примере ниже. Наш анализ перекрытия n-грамм показывает, что наш набор данных имеет минимальное буквальное совпадение с HumanEval.

HumanEval:
Вам дан непустой список положительных целых чисел. Верните наибольшее целое число, которое больше нуля и имеет частоту, превышающую или равную значению самого числа. Частота числа — это количество раз, которое оно встречается в списке.

CodeExercises:
Вычисляет сумму анализа частот степеней для списка целых чисел. Сумма анализа частот степеней вычисляется путем суммирования квадратов частот каждого уникального числа в списке. Частота числа — это количество раз, которое оно встречается в списке.

5.2 Анализ схожести на основе эмбеддингов и синтаксиса

Как мы только что увидели, анализ n-грамм недостаточно точен для поиска схожих фрагментов кода между HumanEval и CodeExercises. Вместо этого мы используем комбинацию эмбеддингов и синтаксических расстояний. Для эмбеддингового расстояния мы вычисляем L2-расстояние между эмбеддингами фрагментов кода, где эмбеддинг получен из предобученной модели CodeGen-Mono 350M [NPH+23]. Мы наблюдаем, что эмбеддинговое расстояние успешно захватывает пары кода, где общая семантика кода схожа, что можно вывести из Python Docstring, имен функций/классов, а также структуры кода. Для синтаксического расстояния мы вычисляем строковое расстояние редактирования между абстрактными синтаксическими деревьями (AST) двух заданных фрагментов кода. Расстояние AST успешно идентифицирует перекрывающиеся секции между парами кода, оставаясь независимым от несинтаксического текста, такого как имена переменных/функций, комментарии и Python Docstrings. Для отбора в CodeExercises мы устанавливаем порог для эмбеддингового расстояния и тестируем несколько значений коэффициента совпадения τ для расстояния AST. См. Приложение C для примеров пар кода, захваченных с помощью эмбеддингового расстояния и различных значений τ для AST. Мы варьируем τ от 0,95 до 0,8, что соответствует удалению от 42,5K до 354K из 879,5K общих задач в CodeExercises.

Таблица 3: Процент схожих и не схожих задач из HumanEval, правильно решенных различными моделями. Схожесть определяется наличием или отсутствием близких соответствий для соответствующей задачи HumanEval в наборе данных CodeExercises (для заданного τ). Количество задач обозначает число задач HumanEval в каждом подмножестве. Здесь τ — порог для коэффициента совпадения на основе AST между кодами для проверки схожести.

τ

Кол-во задач

phi-1

phi-1 retrained on pruned data

StarCoder Prompted [*]

0.95

похожие
не похожие
всего

71
93
164

81.7%
26.9%
50.6%

74.6%
32.3%
50.6%

57.7%
29.0%
41.5%

0.9

похожие
не похожие
всего

93
71
164

63.4%
33.8%
50.6%

51.6%
36.6%
45.1%

48.4%
32.4%
41.5%

0.85

похожие
не похожие
всего

106
58
164

62.3%
29.3%
50.6%

52.8%
34.5%
46.3%

47.2%
31.0%
41.5%

0.8

похожие
не похожие
всего

116
48
164

59.5%
29.2%
50.6%

52.6%
27.1%
45.1%

45.7%
31.2%
41.5%

Таблица 3 суммирует производительность нашей переобученной модели phi-1 на сокращенных наборах данных (с τ = 0,95, 0,9, 0,85 и 0,8) по сравнению с оригинальной phi-1, обученной на полном наборе CodeExercises, и моделью StarCoder-prompted с 15.5 миллиардами параметров. Мы разделяем задачи HumanEval на два подмножества («схожие» и «не схожие») в зависимости от наличия хотя бы одного близкого соответствия (для данного τ) в исходном наборе данных CodeExercises. Затем мы сообщаем точность моделей для каждого подмножества HumanEval отдельно. Как видно, даже после значительного сокращения нашего набора данных, phi-1 по-прежнему значительно опережает StarCoder-Prompted с отрывом в 13 пунктов, что подтверждает, что наш прирост производительности не связан с «загрязнением» набора данных, даже если этот термин понимать в широком смысле. Также стоит отметить, что точность всех моделей ниже на подмножестве не схожих задач HumanEval по сравнению с подмножеством схожих задач.

6. Заключение

Качественный и хорошо составленный учебник может предоставить студенту необходимые знания для освоения нового предмета, и наша работа показывает значительное влияние высококачественных данных на повышение мастерства языковой модели в задачах генерации кода. Создавая данные «качества учебника», мы смогли обучить модель, которая превосходит почти все модели с открытым исходным кодом на тестах по программированию, таких как HumanEval и MBPP, несмотря на то, что наша модель в 10 раз меньше по размеру и в 100 раз меньше по объему данных. Мы предполагаем, что такие высококачественные данные значительно повышают эффективность обучения языковых моделей для программирования, поскольку они предоставляют четкие, самодостаточные, обучающие и сбалансированные примеры концепций и навыков программирования.

Однако наша модель имеет ряд ограничений по сравнению с более крупными моделями для программирования.

Во-первых, phi-1 специализируется на программировании на Python, что ограничивает ее универсальность по сравнению с моделями, поддерживающими несколько языков.

Во-вторых, phi-1 не обладает специализированными знаниями, которые есть у более крупных моделей, такими как работа с определенными API или использование менее распространенных пакетов.

Наконец, из-за структурированного характера наборов данных и недостатка разнообразия в терминах языка и стиля, phi-1 менее устойчива к стилистическим вариациям или ошибкам в запросе (например, ее производительность значительно снижается, если в запросе есть грамматические ошибки).

Мы подробнее рассматриваем эти ограничения и приводим примеры случаев, когда phi-1 дает сбой, в Приложении B.

Ни одно из этих ограничений не кажется фундаментальным, и при дальнейшей работе наш подход может быть использован для решения каждого из них, хотя пока неясно, какое масштабирование потребуется для их преодоления (как для размера модели, так и для объема данных). Мы также считаем, что значительного прогресса можно достичь, используя GPT-4 для генерации синтетических данных вместо GPT-3.5, поскольку мы заметили, что данные GPT-3.5 содержат много ошибок. Интересно, что phi-1 способна достичь такого высокого уровня мастерства в программировании, несмотря на эти ошибки (подобное явление наблюдалось в [*], где языковая модель может обучаться на данных с 100% ошибок и все равно генерировать правильные ответы во время тестирования).

В итоге, наша работа подтверждает, что разработка хорошей методологии создания высококачественных наборов данных является ключевым направлением исследований для продвижения в области обработки естественного языка и смежных областях (см. также [*]). Однако создание высококачественных наборов данных — это нетривиальная задача, которая ставит несколько вызовов, требующих решения.

Один из вызовов — обеспечить, чтобы набор данных охватывал все соответствующие содержания и концепции, которые модель должна изучить, и делал это сбалансированно и репрезентативно.

Другой вызов — обеспечить, чтобы набор данных был действительно разнообразным и не повторяющимся, чтобы модель не переобучалась на данных или не запоминала конкретные шаблоны или решения. Это требует поиска способов внедрения случайности и творчества в процесс генерации данных, сохраняя при этом качество и связность примеров.

Более того, даже после создания таких наборов данных у нас нет хорошей методологии для измерения и оценки уровня разнообразия и избыточности в данных. Например, если у нас есть набор данных с упражнениями по программированию, сложно определить, сколько различных вариаций каждого упражнения существует и как они распределены по набору данных. Наконец, поскольку сами языковые модели будут использоваться для генерации данных для будущих языковых моделей, это повышает актуальность этических и социальных последствий обучения таких моделей, таких как подотчетность, прозрачность и предвзятость данных и моделей, участвующих в этом процессе.

Ссылки

[ADF+ 23] Rohan Anil, Andrew M Dai, Orhan Firat, Melvin Johnson, Dmitry Lepikhin, Alexandre Passos, Siamak Shakeri, Emanuel Taropa, Paige Bailey, Zhifeng Chen, et al. Palm 2 technical report. arXiv preprint arXiv:2305.10403, 2023.

[ALK+ 23] Loubna Ben Allal, Raymond Li, Denis Kocetkov, Chenghao Mou, Christopher Akiki, Carlos Munoz Ferrandis, Niklas Muennighoff, Mayank Mishra, Alex Gu, Manan Dey, et al. Santacoder: don’t reach for the stars! arXiv preprint arXiv:2301.03988, 2023.

[AON+ 21] Jacob Austin, Augustus Odena, Maxwell Nye, Maarten Bosma, Henryk Michalewski, David Dohan, Ellen Jiang, Carrie Cai, Michael Terry, Quoc Le, et al. Program synthesis with large language models. arXiv preprint arXiv:2108.07732, 2021.

[AZL23] Zeyuan Allen-Zhu and Yuanzhi Li. Physics of language models: Part 1, context-free grammar. arXiv preprint arXiv:2305.13673, 2023.

[BBH+ 22] Sid Black, Stella Biderman, Eric Hallahan, Quentin Anthony, Leo Gao, Laurence Golding, Horace He, Connor Leahy, Kyle McDonell, Jason Phang, Michael Pieler, USVSN Sai Prashanth, Shivanshu Purohit, Laria Reynolds, Jonathan Tow, Ben Wang, and Samuel Weinbach. GPT-NeoX-20B: An open-source autoregressive language model. In Proceedings of the ACL Workshop on Challenges & Perspectives in Creating Large Language Models, 2022.

[BCE+ 23] S´ebastien Bubeck, Varun Chandrasekaran, Ronen Eldan, Johannes Gehrke, Eric Horvitz, Ece Kamar, Peter Lee, Yin Tat Lee, Yuanzhi Li, Scott Lundberg, et al. Sparks of artificial general intelligence: Early experiments with gpt-4. arXiv preprint arXiv:2303.12712, 2023.

[BGMMS21] Emily M Bender, Timnit Gebru, Angelina McMillan-Major, and Shmargaret Shmitchell. On the dangers of stochastic parrots: Can language models be too big? In Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency, pages 610–623, 2021.

[BJT+ 22] Mohammad Bavarian, Heewoo Jun, Nikolas Tezak, John Schulman, Christine McLeavey, Jerry Tworek, and Mark Chen. Efficient training of language models to fill in the middle. arXiv preprint arXiv:2207.14255, 2022.

[BMR+ 20] Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, Sandhini Agarwal, Ariel Herbert-Voss, Gretchen Krueger, Tom Henighan, Rewon Child, Aditya Ramesh, Daniel Ziegler, Jeffrey Wu, Clemens Winter, Chris Hesse, Mark Chen, Eric Sigler, Mateusz Litwin, Scott Gray, Benjamin Chess, Jack Clark, Christopher Berner, Sam McCandlish, Alec Radford, Ilya Sutskever, and Dario Amodei. Language models are few-shot learners. In Advances in Neural Information Processing Systems, volume 33, pages 1877– 1901, 2020.

[CND+ 22] Aakanksha Chowdhery, Sharan Narang, Jacob Devlin, Maarten Bosma, Gaurav Mishra, Adam Roberts, Paul Barham, Hyung Won Chung, Charles Sutton, Sebastian Gehrmann, et al. Palm: Scaling language modeling with pathways. arXiv preprint arXiv:2204.02311, 2022.

[CTJ+ 21] Mark Chen, Jerry Tworek, Heewoo Jun, Qiming Yuan, Henrique Ponde de Oliveira Pinto, Jared Kaplan, Harri Edwards, Yuri Burda, Nicholas Joseph, Greg Brockman, et al. Evaluating large language models trained on code. arXiv preprint arXiv:2107.03374, 2021.

[DFE+ 22] Tri Dao, Dan Fu, Stefano Ermon, Atri Rudra, and Christopher R´e. Flashattention: Fast and memory-efficient exact attention with io-awareness. Advances in Neural Information Processing Systems, 35:16344–16359, 2022.

[DLT+ 23] Yann Dubois, Xuechen Li, Rohan Taori, Tianyi Zhang, Ishaan Gulrajani, Jimmy Ba, Carlos Guestrin, Percy Liang, and Tatsunori B Hashimoto. Alpacafarm: A simulation framework for methods that learn from human feedback. arXiv preprint arXiv:2305.14387, 2023.

[EL23] Ronen Eldan and Yuanzhi Li. Tinystories: How small can language models be and still speak coherent english? arXiv preprint arXiv:2305.07759, 2023. [GWS+ 23] Arnav Gudibande, Eric Wallace, Charlie Snell, Xinyang Geng, Hao Liu, Pieter Abbeel, Sergey Levine, and Dawn Song. The false promise of imitating proprietary llms. arXiv preprint arXiv:2305.15717, 2023.

[HBM+ 22] Jordan Hoffmann, Sebastian Borgeaud, Arthur Mensch, Elena Buchatskaya, Trevor Cai, Eliza Rutherford, Diego de las Casas, Lisa Anne Hendricks, Johannes Welbl, Aidan Clark, Tom Hennigan, Eric Noland, Katherine Millican, George van den Driessche, Bogdan Damoc, Aurelia Guy, Simon Osindero, Karen Simonyan, Erich Elsen, Oriol Vinyals, Jack William Rae, and Laurent Sifre. An empirical analysis of compute-optimal large language model training. In Alice H. Oh, Alekh Agarwal, Danielle Belgrave, and Kyunghyun Cho, editors, Advances in Neural Information Processing Systems, 2022.

[HNA+ 17] Joel Hestness, Sharan Narang, Newsha Ardalani, Gregory Diamos, Heewoo Jun, Hassan Kianinejad, Md Mostofa Ali Patwary, Yang Yang, and Yanqi Zhou. Deep learning scaling is predictable, empirically. arXiv preprint arXiv:1712.00409, 2017.

[JWJ+ 23] Jaehun Jung, Peter West, Liwei Jiang, Faeze Brahman, Ximing Lu, Jillian Fisher, Taylor Sorensen, and Yejin Choi. Impossible distillation: from low-quality model to high-quality dataset & model for summarization and paraphrasing. arXiv preprint arXiv:2305.16635, 2023.

[KLA+ 22] Denis Kocetkov, Raymond Li, Loubna Ben Allal, Jia Li, Chenghao Mou, Carlos Mu˜noz Ferrandis, Yacine Jernite, Margaret Mitchell, Sean Hughes, Thomas Wolf, et al. The stack: 3 tb of permissively licensed source code. arXiv preprint arXiv:2211.15533, 2022.

[KMH+ 20] Jared Kaplan, Sam McCandlish, Tom Henighan, Tom B Brown, Benjamin Chess, Rewon Child, Scott Gray, Alec Radford, Jeffrey Wu, and Dario Amodei. Scaling laws for neural language models. arXiv preprint arXiv:2001.08361, 2020.

[LAZ+ 23] Raymond Li, Loubna Ben Allal, Yangtian Zi, Niklas Muennighoff, Denis Kocetkov, Chenghao Mou, Marc Marone, Christopher Akiki, Jia Li, Jenny Chim, et al. Starcoder: may the source be with you! arXiv preprint arXiv:2305.06161, 2023.

[LCC+ 22] Yujia Li, David Choi, Junyoung Chung, Nate Kushman, Julian Schrittwieser, R´emi Leblond, Tom Eccles, James Keeling, Felix Gimeno, Agustin Dal Lago, et al. Competition-level code generation with alphacode. Science, 378(6624):1092–1097, 2022.

[LGK+ 23] Zinan Lin, Sivakanth Gopi, Janardhan Kulkarni, Harsha Nori, and Sergey Yekhanin. Differentially private synthetic data via foundation model apis 1: Images. arXiv preprint arXiv:2305.15560, 2023.

[LXWZ23] Jiawei Liu, Chunqiu Steven Xia, Yuyao Wang, and Lingming Zhang. Is your code generated by chatgpt really correct? rigorous evaluation of large language models for code generation. arXiv preprint arXiv:2305.01210, 2023.

[LXZ+ 23] Ziyang Luo, Can Xu, Pu Zhao, Qingfeng Sun, Xiubo Geng, Wenxiang Hu, Chongyang Tao, Jing Ma, Qingwei Lin, and Daxin Jiang. Wizardcoder: Empowering code large language models with evol-instruct, 2023.

[LYR+ 23] Shayne Longpre, Gregory Yauney, Emily Reif, Katherine Lee, Adam Roberts, Barret Zoph, Denny Zhou, Jason Wei, Kevin Robinson, David Mimno, et al. A pretrainer’s guide to training data: Measuring the effects of data age, domain coverage, quality, & toxicity. arXiv preprint arXiv:2305.13169, 2023.

[MMJ+ 23] Subhabrata Mukherjee, Arindam Mitra, Ganesh Jawahar, Sahaj Agarwal, Hamid Palangi, and Ahmed Awadallah. Orca: Progressive learning from complex explanation traces of gpt-4. arXiv preprint arXiv:2306.02707, 2023.

[MRB+ 23] Niklas Muennighoff, Alexander M Rush, Boaz Barak, Teven Le Scao, Aleksandra Piktus, Nouamane Tazi, Sampo Pyysalo, Thomas Wolf, and Colin Raffel. Scaling data-constrained language models. arXiv preprint arXiv:2305.16264, 2023.

[NHX+ 23] Erik Nijkamp, Hiroaki Hayashi, Caiming Xiong, Silvio Savarese, and Yingbo Zhou. Codegen2: Lessons for training llms on programming and natural languages. arXiv preprint arXiv:2305.02309, 2023.

[NPH+ 22] Erik Nijkamp, Bo Pang, Hiroaki Hayashi, Lifu Tu, Huan Wang, Yingbo Zhou, Silvio Savarese, and Caiming Xiong. Codegen: An open large language model for code with multi-turn program synthesis. arXiv preprint, 2022.

[NPH+ 23] Erik Nijkamp, Bo Pang, Hiroaki Hayashi, Lifu Tu, Huan Wang, Yingbo Zhou, Silvio Savarese, and Caiming Xiong. Codegen: An open large language model for code with multi-turn program synthesis. ICLR, 2023.

[Ope23] OpenAI. Gpt-4 technical report, 2023. arXiv preprint arXiv:2303.08774 [cs.CL]. [Rep23] Replit. Replit dev day. https://twitter.com/Replit/status/ 1651344184593506304, 2023.

[RSR+ 20] Colin Raffel, Noam Shazeer, Adam Roberts, Katherine Lee, Sharan Narang, Michael Matena, Yanqi Zhou, Wei Li, and Peter J Liu. Exploring the limits of transfer learning with a unified text-to-text transformer. The Journal of Machine Learning Research, 21(1):5485–5551, 2020.

[SLP+ 21] Jianlin Su, Yu Lu, Shengfeng Pan, Bo Wen, and Yunfeng Liu. Roformer: Enhanced transformer with rotary position embedding. arXiv preprint arXiv:2104.09864, 2021.

[SSZ+ 23] Ilia Shumailov, Zakhar Shumaylov, Yiren Zhao, Yarin Gal, Nicolas Papernot, and Ross Anderson. Model dementia: Generated data makes models forget. arXiv preprint arXiv:2305.17493, 2023

[TGZ+ 23] Rohan Taori, Ishaan Gulrajani, Tianyi Zhang, Yann Dubois, Xuechen Li, Carlos Guestrin, Percy Liang, and Tatsunori B. Hashimoto. Stanford alpaca: An instruction-following llama model. https://github.com/tatsu-lab/stanford_alpaca, 2023.

[VSP+ 17] Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, L ukasz Kaiser, and Illia Polosukhin. Attention is all you need. In Advances in Neural Information Processing Systems, volume 30, 2017.

[WKM+ 22] Yizhong Wang, Yeganeh Kordi, Swaroop Mishra, Alisa Liu, Noah A Smith, Daniel Khashabi, and Hannaneh Hajishirzi. Self-instruct: Aligning language model with self generated instructions. arXiv preprint arXiv:2212.10560, 2022.

[WLG+ 23] Yue Wang, Hung Le, Akhilesh Deepak Gotmare, Nghi DQ Bui, Junnan Li, and Steven CH Hoi. Codet5+: Open code large language models for code understanding and generation. arXiv preprint arXiv:2305.07922, 2023.

[WTB+ 22] Jason Wei, Yi Tay, Rishi Bommasani, Colin Raffel, Barret Zoph, Sebastian Borgeaud, Dani Yogatama, Maarten Bosma, Denny Zhou, Donald Metzler, Ed H. Chi, Tatsunori Hashimoto, Oriol Vinyals, Percy Liang, Jeff Dean, and William Fedus. Emergent abilities of large language models. Transactions on Machine Learning Research, 2022. Survey Certification.

[YGK+ 23] Da Yu, Sivakanth Gopi, Janardhan Kulkarni, Zinan Lin, Saurabh Naik, Tomasz Lukasz Religa, Jian Yin, and Huishuai Zhang. Selective pre-training for private fine-tuning. arXiv preprint arXiv:2305.13865, 2023.

[ZXZ+ 23] Qinkai Zheng, Xiao Xia, Xu Zou, Yuxiao Dong, Shan Wang, Yufei Xue, Zihan Wang, Lei Shen, Andi Wang, Yang Li, Teng Su, Zhilin Yang, and Jie Tang. Codegeex: A pre-trained model for code generation with multilingual evaluations on humaneval-x, 2023.

A. Дополнительные примеры для Раздела 3

В Разделе 3 мы обсудили на нескольких примерах, как дообученные модели демонстрируют значительное улучшение по сравнению с базовой моделью при выполнении задач, которые не представлены в наборе данных для дообучения. Здесь мы предоставляем дополнительные примеры и детали, чтобы проиллюстрировать эти улучшения.

A.1 Дообучение (файнтюнинг) улучшает способность модели к пониманию

Следующий пример является сложным из-за обилия различных логических операторов, таких как «и» и «не», которые связывают множество утверждений. До файнтюнинга модель путается в логике, заложенной в утверждении. Она с трудом различает «элементы» и «индексы» и не уверена, какой массив использовать. Напротив, дообученная модель успешно идентифицирует все соответствующие массивы и индексы, корректно реализуя логические операторы.

Prompt: Input is an array A, an array B, an array C, an array E, a numpy matrix D. I want to find all the indices of D whose elements are in the union of B and C and whose row index is not in A and column index is in D. Loop through the elements in D. Return the list of indices.

Промпт: Входные данные: массив A, массив B, массив C, массив E, матрица numpy D. Найди все индексы матрицы D, элементы которых находятся в объединении B и C, и чей индекс строки не входит в A, а индекс столбца входит в D. Пройдись по элементам матрицы D. Верни список индексов.

# phi-1
indices = []
for i in range(D.shape[0]):
    for j in range(D.shape[1]):
        if D[i][j] in B or D[i][j] in C:
            if i not in A and j in D:
                indices.append((i,j))
return indices
# phi-1-base
indices = []
for i in range(len(D)):
    for j in range(len(D[i])):
        if D[i][j] in B and D[i][j] not in A:
            indices.append(j)
return indices
# phi-1-small
indices = []
for i in range(D.shape[1]):
    if D[0][i] in B and D[0][i] not in A and D[i][0] in C and D[i][0] not in E:
        indices.append(i)
return indices

A.2 Дообучение улучшает способность модели использовать внешние библиотеки

Пример с PyTorch.

В этом примере с использованием PyTorch мы просим модель написать модифицированный шаг обновления градиента:

Prompt: Write a pytorch function. The input is a model, take the gradient of each parameter of the model, do an SVD of each gradient to get U, Sigma, V, take the top k singular values of Sigma as Sigmak, then do a update step to the parameter using Uk*Sigmak * Vk times the norm of the parameter.

Промпт: Напиши функцию на PyTorch. Входные данные — это модель. Возьми градиент каждого параметра модели, выполни сингулярное разложение (SVD) каждого градиента, чтобы получить U, Sigma, V, возьми топ-k сингулярных значений Sigma как Sigma k, затем выполни шаг обновления параметра, используя Uk * Sigma k * Vk, умноженное на норму параметра.

# phi-1
...
for p in model.parameters():
    if p.grad is not None:
        U, Sigma, V = p.grad.svd()
        Sigmak = Sigma[:k].diag()
        p.data.add_(torch.mm(U[:,:k], torch.mm(Sigmak, V[:k,:])).mul_(norm))
# phi-1-base
...
self.model = model
self.k = k
self.eps = eps
self.max_iter = max_iter
self.verbose = verbose
self.svd_u = None
self.svd_sigma = None
self.svd_v = None
self.svd_k = None
self.svd_u_k = None
...
# phi-1-small
def svd(x):
    u, s, v = np.linalg.svd(x)
    return u, s, v
def update_parameter(parameter, grad):
    u, s, v = svd(grad)
    parameter = u[:, :k]
    np.diag(s[:k]) v[:k, :]
    parameter += np.diag(sigmoid(parameter))
    return parameter

Код, созданный моделью phi-1-small, демонстрирует недостаточное понимание API и ограничения в понимании задачи, что приводит к нескольким значительным ошибкам. Во-первых, он использует np.linalg.svd(x), что несовместимо с тензорами PyTorch. Во-вторых, он ошибочно присваивает результат SVD непосредственно параметру, отклоняясь от инструкции в запросе, где требуется добавить его. С другой стороны, phi-1-base полностью теряется и выдает лишь последовательность бессмысленных определений. Это указывает на то, что улучшение способности модели к логическому рассуждению (даже для простых функций) может значительно повысить общую способность модели к написанию кода.

Пример с Pyplot

Последний пример связан с использованием API Pyplot. Модель обычно хорошо справляется с Pyplot, поэтому мы разработали сложную задачу, попросив модель реализовать анимацию.

Prompt: Create an x array that are integers from 1 to 20, y array that is equal to the
elementwise cos of x divided by element-wise sqrt(x + 1). Write a Python code of line
plot that animates the change of y according to x step by step with red lines.
However, during the animation, when x[i] is larger than 11, change the animation line
color from red to green.

Промпт: Создай массив x, состоящий из целых чисел от 1 до 20, и массив y, равный cos x каждого элемента, деленному на квадратный корень из (x + 1) каждого элемента. Напиши код на Python для построения линейного графика, который анимирует изменение y в зависимости от x шаг за шагом с использованием красных линий. Однако во время анимации, когда x[i] становится больше 11, изменит цвет линии анимации с красного на зеленый.

# phi-1
...
x = np.arange(1, 21)
y = np.cos(x) / np.sqrt(x + 1)
fig, ax = plt.subplots()
line, = ax.plot([], [], color='red')
...
ax.set_title('Animation of Cosine and Cosine-Square-Root')
def animate(i):
    if x[i] > 11:
        line.set_color('green')
    else:
        line.set_color('red')
        line.set_data(x[:i+1], y[:i+1])
    return line,
anim = animation.FuncAnimation(fig, animate, frames=len(x), interval=500, blit=True)
plt.show()
# phi-1-base
...
fig, ax = plt.subplots()
x = np.arange(1, 21)
y = np.cos(x) / np.sqrt(x + 1)
line, = ax.plot([], [], lw=2)
def init():
    line.set_data([], [])
    return line,
def animate(i):
    if x[i] > 11:
        line.set_color('green')
    else:
        line.set_color('red')
    return line,
anim = FuncAnimation(fig, animate, init_func=init, frames=len(x), interval=50, blit=True)
# phi-1-small
...
fig, ax = plt.subplots()
x_array = list(range(1, 21))
y_array = [math.cos(xi/10) for xi in x_array]
def animate(i):
    ...
    ax.plot(x_array, y_array)
    if x_array[i] > 11:
        color = "red"
    else:
        color = "green"
    ax.scatter(x_array[i],
    y_array[i], color=color)
    return ax
ani = animation.FuncAnimation(fig, animate, frames=len(x_array), interval=50, blit=True)
plt.show()

phi-1-small выдает некорректный результат. С точки зрения API, модель не понимает требование «линейный график» и использует только точечный график (и даже он реализован неправильно). phi-1-base правильно понимает шаблон, но упускает основную функцию для обновления линейного графика на каждой итерации.

B. Ограничения модели phi-1

Хотя дообучение на простых упражнениях значительно улучшает общую производительность модели, существуют определенные ограничения, присущие нашей модели, которые невозможно преодолеть только за счет файнтюнинга. Во-первых, наша модель имеет всего 1,3 миллиарда параметров и обучалась на 7 миллиардах токенов, что ограничивает ее способность справляться с более сложными задачами, такими как разработка сложного приложения на Flask, по сравнению с другими моделями, такими как Starcoder. Помимо ограничений нашей модели в плане универсальности по сравнению с StarCoder или ChatGPT, мы также выделили несколько других слабых сторон:

Чувствительность к вариациям в запросах.

Наша модель чувствительна к различным изменениям в запросах. Во-первых, ее производительность значительно снижается с увеличением длины запроса, так как она склонна игнорировать, забывать или неправильно интерпретировать части запроса, если он слишком длинный. Например, наша модель не справляется, когда мы увеличиваем количество слоев с 3 до 4 в следующем случае. Мы предполагаем, что эта проблема возникает из-за того, что наши упражнения в основном состоят из коротких запросов. Кроме того, результат генерации может качественно отличаться при незначительном изменении запроса. В этом случае, с добавлением команды import torch, модель часто успешно справляется с задачей, которая ранее вызывала у нее затруднения.

Пример запроса 1:

Create a neural network class in Pytorch with 3 layers. Implement a new "rr" method to this new function: It takes input x. Apply the first layer on x and assign the output to y, then apply the second layer on y and assign the output to z, then apply the third layer on z and assign it to w, then sum up y, z, w and assign it to Q. Return Q

Создай класс нейронной сети на PyTorch с 3 слоями. Реализуй новый метод "rr" для этой функции: Он принимает входные данные x. Примени первый слой к x и присвой результат y, затем примени второй слой к y и присвой результат z, затем примени третий слой к z и присвой результат w, затем сложи y, z, w и присвой результат Q. Верни Q.

class NeuralNetwork(nn.Module):
    def __init__(self):
        super(NeuralNetwork, self).__init__()
            self.layer1 = nn.Linear(2, 5)
            self.layer2 = nn.Linear(5, 3)
            self.layer3 = nn.Linear(3, 1)
    def rr(self, x):
        y = self.layer1(x)
        z = self.layer2(y)
        w = self.layer3(z)
        Q = y + z + w
        return Q

Пример запроса 2:

Create a neural network class in Pytorch with 4 layers. Implement a new "rr" method to this new function: It takes input x. Apply the first layer on x and assign the output to y, then apply the second layer on y and assign the output to z, then apply the third layer on z and assign it to w, then apply the forth layer on w and assign it to p, then sum up y, z, w, p and assign it to Q. Return Q.

Создай класс нейронной сети на PyTorch с 4 слоями. Реализуй новый метод "rr" для этой функции: Он принимает входные данные x. Примени первый слой к x и присвой результат y, затем примени второй слой к y и присвой результат z, затем примени третий слой к z и присвой результат w, затем примени четвертый слой к w и присвой результат p, затем сложи y, z, w, p и присвой результат Q. Верни Q.

class NeuralNetwork:
    def __init__(self):
        self.layers = []
    def add_layer(self, layer):
        self.layers.append(layer)
        ...
    def rr(self, x):
        y = self.forward(x)
        z = self.forward(y)
        w = self.forward(z)
        p = self.forward(w)
        Q = y + z + w + p
        return Q

Пример запроса 3:

import torch Create a neural network class in Pytorch with 4 layers. Implement a new "rr" method to this new function: It takes input x. Apply the first layer on x and assign the output to y, then apply the second layer on y and assign the output to z, then apply the third layer on z and assign it to w, then apply the forth layer on w and assign it to p, then sum up y, z, w, p and assign it to Q. Return Q.

import torch Создай класс нейронной сети на PyTorch с 4 слоями. Реализуй новый метод "rr" для этой функции: Он принимает входные данные x. Примени первый слой к x и присвой результат y, затем примени второй слой к y и присвой результат z, затем примени третий слой к z и присвой результат w, затем примени четвертый слой к w и присвой результат p, затем сложи y, z, w, p и присвой результат Q. Верни Q.

class NeuralNetwork(torch.nn.Module):
def __init__(self):
    super(NeuralNetwork, self).__init__()
    self.layer1 = torch.nn.Linear(10, 20)
...
def forward(self, x):
    x = torch.nn.functional.relu(self.layer1(x))
    y = torch.nn.functional.relu(self.layer2(x))
    z = torch.nn.functional.relu(self.layer3(y))
    w = torch.nn.functional.relu(self.layer4(z))
    p = torch.nn.functional.relu(self.output(w))
    Q = p + y + z + w
    return Q

Чувствительность к естественным языковым запросам

Модель phi-1 демонстрирует меньшую устойчивость к обработке естественного языка по сравнению с ChatGPT или StarCoder, особенно в случае неоднозначных запросов. Это может быть связано с тем, что мы исключили определенные типы данных из процесса обучения, чтобы гарантировать качество на уровне учебника.

Например, наша модель испытывает трудности с термином «неизменный» (unchanged) и с интерпретацией нумерованных списков в запросе.

Пример запроса 1:

Alice is moving a point along x,y axes at every iteration. Every time Alice moves the point randomly with one of the options: (1). x increases by 2, y decreases by 5; (2). x increases by 1, y decreases by 2, (3). x stays unchanged, y increase by 4. Simulate the movement of the points.

Алиса перемещает точку вдоль осей x и y на каждой итерации. Каждый раз Алиса перемещает точку случайным образом одним из вариантов: (1) x увеличивается на 2, y уменьшается на 5; (2) x увеличивается на 1, y уменьшается на 2; (3) x остается неизменным, y увеличивается на 4. Смоделируй движение точки.

x, y = 0, 0
for i in range(10):
    move = random.choice([1, 2,3])
    if move == 1:
        x += 2
        y -= 5
    elif move == 2:
        x += 1
        y -= 2
    elif move == 3:
        x = 0
        y += 4
return f"Alice's final position is ({x}, {y})."

Пример запроса 2:

Alice is moving a point along x,y axes at every iteration. Every time Alice moves the point randomly with one of the options: (1). x increases by 2, y decreases by 5; (2). x increases by 1, y decreases by 2, (3). x stays at x, y increase by 4. Simulate the movement of the points.

Алиса перемещает точку вдоль осей x и y на каждой итерации. Каждый раз Алиса перемещает точку случайным образом одним из вариантов: (1) x увеличивается на 2, y уменьшается на 5; (2) x увеличивается на 1, y уменьшается на 2; (3) x остается равным x, y увеличивается на 4. Смоделируй движение точки.

x, y = 0, 0
for i in range(10):
    move = random.choice([1, 2, 3])
    if move == 1:
        x += 2
        y -= 5
    elif move == 2:
        x += 1
        y -= 2
    elif move == 3:
        x = x
        y += 4
print(f"Alice moved {move}
point to ({x}, {y})")

Пример запроса 3:

Alice is moving a point along x,y axes at every iteration. Every time Alice moves the point randomly with one of the options: (1). move by (2, -5); (2). move by (1, 2); (3). move by (0, 4); Simulate the movement of the points.

Алиса перемещает точку вдоль осей x и y на каждой итерации. Каждый раз Алиса перемещает точку случайным образом одним из вариантов: (1) перемещение на (2, -5); (2) перемещение на (1, 2); (3) перемещение на (0, 4); Смоделируй движение точки.

x, y = 0, 0
for i in range(n):
    move = random.choice([(1, 2), (2, -5), (1, 2), (3, 0), (0, 4)])
    x += move[0]
    y += move[1]
    return f"Alice moved {x} units to the right and {y} units down after {n} iterations."
  
# Note: the model hallucinates the moves (1, 2), (3, 0).

Эти примеры показывают, что модель phi-1 может испытывать трудности с интерпретацией естественного языка, особенно если присутствуют неоднозначные или сложные конструкции. Это подчеркивает необходимость дальнейшего улучшения модели в плане обработки естественного языка и повышения ее устойчивости к вариативным запросам.

Плохая способность к счету и пространственному мышлению

Одним из основных ограничений нашей модели, особенно в сравнении с альтернативами, такими как StarCoder, является ее производительность на задачах, связанных с подсчетом и пространственным мышлением. Модель с трудом поддерживает точные данные о количестве и расположении элементов в сцене. Чтобы проиллюстрировать это, рассмотрим следующий пример:

Пример запроса:

Generate a tkinter application, I want two textfields side by side at the top, three buttons at the bottom, one named A on the left, one named B on the right, one named C at the middle.

Создай приложение на tkinter. Мне нужно два текстовых поля, расположенных рядом в верхней части, три кнопки в нижней части: одна с именем A слева, одна с именем B справа и одна с именем C по центру.

# phi-1
...
text_a = tk.Text(root, width=30, height=5)
text_b = tk.Text(root, width=30, height=5)
text_c = tk.Text(root, width=30, height=5)

# Create the buttons
button_a = tk.Button(root, text="A", width=10, height=2)
button_b = tk.Button(root, text="B", width=10, height=2)
button_c = tk.Button(root, text="C", width=10, height=2)

# Place the text fields and buttons in the top row
text_a.grid(row=0, column=0, padx=5, pady=5)
text_b.grid(row=0, column=1, padx=5, pady=5)
text_c.grid(row=0, column=2, padx=5, pady=5)

# Place the buttons in the bottom row
button_a.grid(row=1, column=0, columnspan=3, padx=5, pady=5)
button_b.grid(row=1, column=1, columnspan=3, padx=5, pady=5)
button_c.grid(row=1, column=2, columnspan=3, padx=5, pady=5)
...
# phi-1-small

window = tk.Tk()
window.title("TextFields")
# Create the left and right textfields
text1 = tk.Text(window, text="A")
text1.pack()
text2 = tk.Text(window, text="B")
text2.pack()
# Create the middle button
button = tk.Button(window, text="C")
button.pack()
# Start the tkinter application
window.mainloop()
# phi-1-base
root = tk.Tk()
root.title("Text Fields")
root.geometry("300x200")
root.resizable(False, False)
root.configure(background="white")
root.configure(font=("Arial", 12))
root.configure(foreground="black")
root.configure(relief="groove")
root.configure(padx=10, pady=10)
root.configure(state="disabled")
# The model keeps outputting nonsensical code.

Несмотря на улучшения, достигнутые за счет дообучения, наша модель по-прежнему испытывает трудности с подсчетом и пространственным мышлением. Она создает лишнее текстовое поле и неправильно размещает кнопку в сцене.

C. Примеры для Раздела 5

В этом разделе мы предоставляем примеры пар кода, с разными коэффициентами совпадения AST. Кроме того, мы приводим пример пары кода, полученной с использованием эмбеддингового расстояния в качестве меры схожести.

Коэффициент совпадения AST = 1.0

Здесь задачи на программирование требуют одинакового логического рассуждения, хотя формулировки запросов могут значительно отличаться. В частности, в запросе используется реальное событие (например, расстояние между отверстиями на линии), чтобы неявно обучить модели базовой задаче нахождения ближайшей пары элементов в массиве.

HumanEval

from typing import List, Tuple
def find_closest_elements(numbers: List[float]) -> Tuple[float, float]:
    """ From a supplied list of numbers (of
    length at least two) select and return two
    that are the closest to each
    other and return them in order (smaller
    number, larger number).
    >>> find_closest_elements([1.0, 2.0, 3.0,
    4.0, 5.0, 2.2])
    (2.0, 2.2)
    >>> find_closest_elements([1.0, 2.0, 3.0,
    4.0, 5.0, 2.0])
    (2.0, 2.0)
    """
    numbers.sort()
    min_diff = float('inf')
    closest_pair = None
    for i in range(len(numbers) - 1):
    diff = numbers[i+1] - numbers[i]
    if diff < min_diff:
    min_diff = diff
    closest_pair = (numbers[i], numbers[i
    +1])
    return closest_pair

CodeExercises

from typing import List, Tuple
def find_closest_two_holes(holes: List[int]) -> (int, int):
    """
    Finds the two closest holes on a line.
    Args:
        holes: A list of integers representing
        the positions of holes on a line.
    Returns:
        A tuple of two integers representing the
        positions of the two closest holes on the
        line.
    """
    holes.sort()
    min_distance = float('inf')
    closest_holes = None
    for i in range(len(holes) - 1):
        distance = holes[i+1] - holes[i]
        if distance < min_distance:
            min_distance = distance
            closest_holes = (holes[i], holes[i+1])
    return closest_holes

Коэффициент совпадения AST = 0.96

Здесь две задачи используют схожие логические рассуждения и концепции программирования, но их запросы требуют выполнения разных задач, например, возвращение пары чисел в отличие от вычисления их среднего значения.

HumanEval

from typing import List
def find_closest_elements(numbers: List[float]) -> Tuple[float, float]:
    """ From a supplied list of numbers (of
    length at least two) select and return two
    that are the closest to each
    other and return them in order (smaller
    number, larger number).
    >>> find_closest_elements([1.0, 2.0, 3.0,
    4.0, 5.0, 2.2])
    (2.0, 2.2)
    >>> find_closest_elements([1.0, 2.0, 3.0,
    4.0, 5.0, 2.0])
    (2.0, 2.0)
    """
    numbers.sort()
    min_diff = float('inf')
    closest_pair = None
    for i in range(len(numbers) - 1):
        diff = numbers[i+1] - numbers[i]
        if diff < min_diff:
        min_diff = diff
        closest_pair = (numbers[i], numbers[i+1])
    return closest_pair

CodeExercises

from typing import List
def find_closest_pair_average(li: List[int]) -> float:
    """
    Returns the average of the two integers in
    the list that are closest to each other.
    If there are multiple pairs with the same
    minimum difference, the function returns the
    average of the first pair it encounters.
    Args:
    - li: a list of integers
    Returns:
    - a float representing the average of the two
    integers in the list that are closest to
    each other
    """
    li.sort()
    min_diff = float('inf')
    closest_pair = None
    for i in range(len(li)-1):
        diff = li[i+1] - li[i]
        if diff < min_diff:
            min_diff = diff
            closest_pair = (li[i], li[i+1])
    return sum(closest_pair) / 2

Коэффициент совпадения AST ≤ 0.9

Когда коэффициент совпадения AST ≤ 0.9, пары кода становятся менее схожими, так как их структура и логика начинают значительно отличаться. Здесь уровень совпадения AST (абстрактного синтаксического дерева) составляет 0.9 и 0.83 соответственно.

HumanEval

from typing import List
def all_prefixes(string: str) -> List[str]:
    """ Return list of all prefixes from
    shortest to longest of the input string
    >>> all_prefixes('abc')
    ['a', 'ab', 'abc']
    """
    prefixes = []
    for i in range(len(string)):
        prefixes.append(string[:i+1])
    return prefixes

CodeExercises

from typing import List
def increase_after_each(li: List[int]) -> List[int]:
    """
    Given a list of integers, returns a new list
    where each element is increased by the
    number of elements in the original list that
    come after it.
    Args:
    - li: A list of integers
    Returns:
    - A new list of integers where each element
    is increased by the number of elements in
    the original list that come after it.
    """
    result = []
    for i in range(len(li)):
        result.append(li[i] + len(li[i+1:]))
    return result

HumanEval

from typing import List
def rescale_to_unit(numbers: List[float]) -> List[float]:
    """ Given list of numbers (of at least two
    elements), apply a linear transform to that
    list, such that the smallest number will
    become 0 and the largest will become 1
    >>> rescale_to_unit([1.0, 2.0, 3.0, 4.0,
    5.0])
    [0.0, 0.25, 0.5, 0.75, 1.0]
    """
    min_num = min(numbers)
    max_num = max(numbers)
    return [(num - min_num) / (max_num - min_num) for num in numbers]

CodeExercises

from typing import List
def frequency_ranges_plot(values: List[float]) -> List[List[int]]:
    """
    Returns a list of lists where each inner list
    represents a frequency range and contains
    the count of values
    that fall within that range. The ranges are
    determined by dividing the range of values
    into 10 equal parts.
    Args:
    - values: A list of float values
    Returns:
    - A list of lists where each inner list
    contains two integers representing the lower
    and upper bounds of the range
    and the count of values that fall within that
    range.
    """
    min_val = min(values)
    max_val = max(values)
    range_size = (max_val - min_val) / 10
    ranges = [[min_val + i*range_size, min_val + (i+1)*range_size, 0] for i in ange(10)]
    for val in values:
        for i, r in enumerate(ranges):
            if r[0] <= val < r[1]:
                ranges[i][2] += 1
                break
    return [[int(r[0]), int(r[1]), r[2]] for r in ranges]

Эмбеддинговое расстояние = 0.16

Здесь две задачи имеют схожие Python Docstrings, имена функций, а также структуру кода, что можно выявить с помощью L2-расстояния между нормализованными эмбеддингами CodeGen-Mono 350M для каждой из них.

HumanEval

def sum_product(numbers: List[int]) -> Tuple[int, int]:
    """ For a given list of integers, return a
    tuple consisting of a sum and a product of
    all the integers in a list.
    Empty sum should be equal to 0 and empty
    product should be equal to 1.
    >>> sum_product([])
    (0, 1)
    >>> sum_product([1, 2, 3, 4])
    (10, 24)
    """
    sum_value = 0
    prod_value = 1
    for n in numbers:
        sum_value += n
        prod_value *= n
    return sum_value, prod_value

CodeExercises

from typing import List, Tuple
def all_numbers_sum_product(numbers: List[int]) -> Tuple[int,int]:
    """
    Returns a tuple containing the sum and
    product of all the numbers in the input list.
    Args:
    - numbers (List[int]): a list of integers
    Returns:
    - a tuple containing two integers:
    - the sum of all the numbers in the input
    list
    - the product of all the numbers in the
    input list
    """
    sum_of_numbers = 0
    product_of_numbers = 1
    for num in numbers:
        sum_of_numbers += num
        product_of_numbers *= num
    return (sum_of_numbers, product_of_numbers)

Источник

  • 22.01.26 07:48 Kelvin Alfons

    Hello everyone. I’d like to share my personal experience from one of the most challenging times in my life. I’m based in Sydney, Australia, and on November 13, 2025, I fell victim to a fraudulent cryptocurrency investment platform that promised substantial financial growth.  Believing their claims, I invested a total of $220,000 with the expectation of earning solid returns. However, when I attempted to withdraw my funds, all communication abruptly stopped. My calls were ignored, my emails went unanswered, and I was left feeling completely powerless. Like many others, I had heard that Bitcoin transactions are impossible to trace, so I assumed my money was lost forever.  After some time, I discovered information about GREAT WHIP RECOVERY CYBER SERVICES, a reputable digital asset recovery firm. I decided to reach out to them, and to my astonishment, they were able to help me recover the full amount I had lost.  I’m sharing my story in the hope that it may help someone else who is going through a similar situation and looking for support. Their contact is, Website: https://greatwhiprecoveryc.wixsite.com/greatwhip-site Email:[email protected] Call: +1(406)2729101

  • 22.01.26 07:50 Kelvin Alfons

    Hello everyone. I’d like to share my personal experience from one of the most challenging times in my life. I’m based in Sydney, Australia, and on November 13, 2025, I fell victim to a fraudulent cryptocurrency investment platform that promised substantial financial growth.  Believing their claims, I invested a total of $220,000 with the expectation of earning solid returns. However, when I attempted to withdraw my funds, all communication abruptly stopped. My calls were ignored, my emails went unanswered, and I was left feeling completely powerless. Like many others, I had heard that Bitcoin transactions are impossible to trace, so I assumed my money was lost forever.  After some time, I discovered information about GREAT WHIP RECOVERY CYBER SERVICES, a reputable digital asset recovery firm. I decided to reach out to them, and to my astonishment, they were able to help me recover the full amount I had lost.  I’m sharing my story in the hope that it may help someone else who is going through a similar situation and looking for support. Their contact is, Website: https://greatwhiprecoveryc.wixsite.com/greatwhip-site Email:[email protected] Call: +1(406)2729101

  • 22.01.26 10:42 Tonerdomark

    I got my money back from the Elon Musk scam. It cost me over 1 BTC and $55,000 in Dogecoin. Scammers vowed to double investments. Their sites seemed real. Fraud was tough to catch early. They hooked me with fast doubles in weeks or months. Videos showed Musk promising giveaways and gains. I bought in. I sent Bitcoin and Dogecoin in bits at first. Small sends worked. Then I wired my full savings. It vanished quick. No answers came. Bank account empty. Bills piled up. Loans covered rent and food. Sleep fled. Stress hit hard. Life crumbled. A friend spotted my trouble. He told of his scam loss last year. Same old plays. He pointed me to Sylvester Bryant, a recovery expert. Email Yt7cracker@gmail. com. WhatsApp +1 512 577 7957 or +44 7428 662701. Sylvester acted fast. He tracked blockchain trails. Dealt with exchanges. Outsmarted the scammers. In weeks, my Bitcoin came back. Even their phony profits too. Debts gone. Life back on track. Got hit? Contact him now.

  • 22.01.26 19:25 Angela_Moore

    Help to recover money from elon musk giveaway scam I got my money back from the Elon Musk scam. It cost me over 1 BTC and $55,000 in Dogecoin. Scammers vowed to double investments. Their sites seemed real. Fraud was tough to catch early. They hooked me with fast doubles in weeks or months. Videos showed Musk promising giveaways and gains. I bought in. I sent Bitcoin and Dogecoin in bits at first. Small sends worked. Then I wired my full savings. It vanished quick. No answers came. Bank account empty. Bills piled up. Loans covered rent and food. Sleep fled. Stress hit hard. Life crumbled. A friend spotted my trouble. He told of his scam loss last year. Same old plays. He pointed me to Sylvester Bryant, a recovery expert. Email Yt7cracker@gmail. com. WhatsApp +1 512 577 7957 or +44 7428 662701. Sylvester acted fast. He tracked blockchain trails. Dealt with exchanges. Outsmarted the scammers. In weeks, my Bitcoin came back. Even their phony profits too. Debts gone. Life back on track. Got hit? Contact him now.

  • 23.01.26 07:35 Kelvin Alfons

    Hello everyone. I’d like to share my personal experience from one of the most challenging times in my life. I’m based in Sydney, Australia, and on November 13, 2025, I fell victim to a fraudulent cryptocurrency investment platform that promised substantial financial growth.  Believing their claims, I invested a total of $220,000 with the expectation of earning solid returns. However, when I attempted to withdraw my funds, all communication abruptly stopped. My calls were ignored, my emails went unanswered, and I was left feeling completely powerless. Like many others, I had heard that Bitcoin transactions are impossible to trace, so I assumed my money was lost forever.  After some time, I discovered information about GREAT WHIP RECOVERY CYBER SERVICES, a reputable digital asset recovery firm. I decided to reach out to them, and to my astonishment, they were able to help me recover the full amount I had lost.  I’m sharing my story in the hope that it may help someone else who is going through a similar situation and looking for support. Their contact is, Website: https://greatwhiprecoveryc.wixsite.com/greatwhip-site Email:[email protected] Call: +1(406)2729101

  • 23.01.26 07:35 Kelvin Alfons

    Hello everyone. I’d like to share my personal experience from one of the most challenging times in my life. I’m based in Sydney, Australia, and on November 13, 2025, I fell victim to a fraudulent cryptocurrency investment platform that promised substantial financial growth.  Believing their claims, I invested a total of $220,000 with the expectation of earning solid returns. However, when I attempted to withdraw my funds, all communication abruptly stopped. My calls were ignored, my emails went unanswered, and I was left feeling completely powerless. Like many others, I had heard that Bitcoin transactions are impossible to trace, so I assumed my money was lost forever.  After some time, I discovered information about GREAT WHIP RECOVERY CYBER SERVICES, a reputable digital asset recovery firm. I decided to reach out to them, and to my astonishment, they were able to help me recover the full amount I had lost.  I’m sharing my story in the hope that it may help someone else who is going through a similar situation and looking for support. Their contact is, Website: https://greatwhiprecoveryc.wixsite.com/greatwhip-site Email:[email protected] Call: +1(406)2729101

  • 26.01.26 10:36 alksnismareks

    It all started when I decided to explore online trading as a way to grow my savings. Like many, I trusted what appeared to be a legitimate platform, only to find myself trapped in a nightmare. After making consistent trades and finally deciding to withdraw my profits, I was met with silence. My account was suddenly restricted—no warning, no explanation. Every attempt to contact the broker went unanswered or was met with vague, dismissive replies. For three long, agonizing months, I lived in uncertainty. I couldn’t sleep at night. I replayed every email, every transaction, wondering if I’d made a mistake. But deep down, I knew the truth: I hadn’t done anything wrong. The broker had simply decided to lock me out and keep my money. During that time, I felt completely powerless—like I was shouting into a void. The stress affected my health, my relationships, and my ability to focus on anything else. There were days I truly believed that $167,000 was gone forever, lost to the shadows of the unregulated online trading world. I even began to accept it as a painful lesson—one that would cost me dearly but might teach me to be more cautious in the future. But something inside me refused to surrender completely. That’s when I discovered TechY Force Cyber Retrieval. At first, I was cautious—after being scammed once, I didn’t want to fall victim again. But everything about TechY Force felt different. They were transparent from the start. No grand promises, no pressure tactics. Just clear, professional communication and a deep understanding of how these fraudulent brokers operate. Most importantly, they are a licensed specialist in binary options and forex fund recovery, which gave me the confidence to move forward. From our very first consultation, their team treated my case with urgency and empathy. They walked me through the entire process, explained the legal and technical avenues available, and assured me they would handle every detail. They collected documentation, analyzed transaction trails, and engaged directly with the payment processors and the broker using precise, strategic methods I never could have navigated on my own. What happened next was nothing short of miraculous. Within weeks, the broker—who had ignored me for months—began responding. And then, without any further drama or delays, my full $167,000 USD was returned to me. No deductions. No hidden fees. Just clean, complete recovery. The relief I felt was indescribable. It wasn’t just about the money—it was about reclaiming control, restoring trust, and proving that even in the face of deception, there are still good people who fight for what’s right. If you’ve been locked out of your trading account, scammed by a fake investment platform, or had your funds unjustly withheld, please know this: you are not alone, and your money may not be lost forever. Thanks to TechY Force Cyber Retrieval, I got my life back. Their expertise, integrity, and unwavering commitment turned my despair into deliverance. I cannot recommend them highly enough. To anyone reading this in distress: don’t give up. Reach out. Take that step. Because if someone like me—broken, doubtful, and nearly hopeless—can recover every dollar… so can you. WhatsApp them + 156 172 63 697 With heartfelt thanks and renewed hope, — A Recovered and Grateful Client

  • 26.01.26 23:21 robertalfred175

    CRYPTO SCAM RECOVERY SUCCESSFUL – A TESTIMONIAL OF LOST PASSWORD TO YOUR DIGITAL WALLET BACK. My name is Robert Alfred, Am from Australia. I’m sharing my experience in the hope that it helps others who have been victims of crypto scams. A few months ago, I fell victim to a fraudulent crypto investment scheme linked to a broker company. I had invested heavily during a time when Bitcoin prices were rising, thinking it was a good opportunity. Unfortunately, I was scammed out of $120,000 AUD and the broker denied me access to my digital wallet and assets. It was a devastating experience that caused many sleepless nights. Crypto scams are increasingly common and often involve fake trading platforms, phishing attacks, and misleading investment opportunities. In my desperation, a friend from the crypto community recommended Capital Crypto Recovery Service, known for helping victims recover lost or stolen funds. After doing some research and reading multiple positive reviews, I reached out to Capital Crypto Recovery. I provided all the necessary information—wallet addresses, transaction history, and communication logs. Their expert team responded immediately and began investigating. Using advanced blockchain tracking techniques, they were able to trace the stolen Dogecoin, identify the scammer’s wallet, and coordinate with relevant authorities to freeze the funds before they could be moved. Incredibly, within 24 hours, Capital Crypto Recovery successfully recovered the majority of my stolen crypto assets. I was beyond relieved and truly grateful. Their professionalism, transparency, and constant communication throughout the process gave me hope during a very difficult time. If you’ve been a victim of a crypto scam, I highly recommend them with full confidence contacting: 📧 Email: [email protected] 📱 Telegram: @Capitalcryptorecover Contact: [email protected] 📞 Call/Text: +1 (336) 390-6684 🌐 Website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 26.01.26 23:21 robertalfred175

    CRYPTO SCAM RECOVERY SUCCESSFUL – A TESTIMONIAL OF LOST PASSWORD TO YOUR DIGITAL WALLET BACK. My name is Robert Alfred, Am from Australia. I’m sharing my experience in the hope that it helps others who have been victims of crypto scams. A few months ago, I fell victim to a fraudulent crypto investment scheme linked to a broker company. I had invested heavily during a time when Bitcoin prices were rising, thinking it was a good opportunity. Unfortunately, I was scammed out of $120,000 AUD and the broker denied me access to my digital wallet and assets. It was a devastating experience that caused many sleepless nights. Crypto scams are increasingly common and often involve fake trading platforms, phishing attacks, and misleading investment opportunities. In my desperation, a friend from the crypto community recommended Capital Crypto Recovery Service, known for helping victims recover lost or stolen funds. After doing some research and reading multiple positive reviews, I reached out to Capital Crypto Recovery. I provided all the necessary information—wallet addresses, transaction history, and communication logs. Their expert team responded immediately and began investigating. Using advanced blockchain tracking techniques, they were able to trace the stolen Dogecoin, identify the scammer’s wallet, and coordinate with relevant authorities to freeze the funds before they could be moved. Incredibly, within 24 hours, Capital Crypto Recovery successfully recovered the majority of my stolen crypto assets. I was beyond relieved and truly grateful. Their professionalism, transparency, and constant communication throughout the process gave me hope during a very difficult time. If you’ve been a victim of a crypto scam, I highly recommend them with full confidence contacting: 📧 Email: [email protected] 📱 Telegram: @Capitalcryptorecover Contact: [email protected] 📞 Call/Text: +1 (336) 390-6684 🌐 Website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 26.01.26 23:21 robertalfred175

    CRYPTO SCAM RECOVERY SUCCESSFUL – A TESTIMONIAL OF LOST PASSWORD TO YOUR DIGITAL WALLET BACK. My name is Robert Alfred, Am from Australia. I’m sharing my experience in the hope that it helps others who have been victims of crypto scams. A few months ago, I fell victim to a fraudulent crypto investment scheme linked to a broker company. I had invested heavily during a time when Bitcoin prices were rising, thinking it was a good opportunity. Unfortunately, I was scammed out of $120,000 AUD and the broker denied me access to my digital wallet and assets. It was a devastating experience that caused many sleepless nights. Crypto scams are increasingly common and often involve fake trading platforms, phishing attacks, and misleading investment opportunities. In my desperation, a friend from the crypto community recommended Capital Crypto Recovery Service, known for helping victims recover lost or stolen funds. After doing some research and reading multiple positive reviews, I reached out to Capital Crypto Recovery. I provided all the necessary information—wallet addresses, transaction history, and communication logs. Their expert team responded immediately and began investigating. Using advanced blockchain tracking techniques, they were able to trace the stolen Dogecoin, identify the scammer’s wallet, and coordinate with relevant authorities to freeze the funds before they could be moved. Incredibly, within 24 hours, Capital Crypto Recovery successfully recovered the majority of my stolen crypto assets. I was beyond relieved and truly grateful. Their professionalism, transparency, and constant communication throughout the process gave me hope during a very difficult time. If you’ve been a victim of a crypto scam, I highly recommend them with full confidence contacting: 📧 Email: [email protected] 📱 Telegram: @Capitalcryptorecover Contact: [email protected] 📞 Call/Text: +1 (336) 390-6684 🌐 Website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 27.01.26 01:18 Kelvin Alfons

    Hello everyone. I’d like to share my personal experience from one of the most challenging times in my life. I’m based in Sydney, Australia, and on November 13, 2025, I fell victim to a fraudulent cryptocurrency investment platform that promised substantial financial growth.  Believing their claims, I invested a total of $220,000 with the expectation of earning solid returns. However, when I attempted to withdraw my funds, all communication abruptly stopped. My calls were ignored, my emails went unanswered, and I was left feeling completely powerless. Like many others, I had heard that Bitcoin transactions are impossible to trace, so I assumed my money was lost forever.  After some time, I discovered information about GREAT WHIP RECOVERY CYBER SERVICES, a reputable digital asset recovery firm. I decided to reach out to them, and to my astonishment, they were able to help me recover the full amount I had lost.  I’m sharing my story in the hope that it may help someone else who is going through a similar situation and looking for support. Their contact is, Website: https://greatwhiprecoveryc.wixsite.com/greatwhip-site Email:[email protected] Call: +1(406)2729101

  • 27.01.26 01:19 Kelvin Alfons

    Hello everyone. I’d like to share my personal experience from one of the most challenging times in my life. I’m based in Sydney, Australia, and on November 13, 2025, I fell victim to a fraudulent cryptocurrency investment platform that promised substantial financial growth.  Believing their claims, I invested a total of $220,000 with the expectation of earning solid returns. However, when I attempted to withdraw my funds, all communication abruptly stopped. My calls were ignored, my emails went unanswered, and I was left feeling completely powerless. Like many others, I had heard that Bitcoin transactions are impossible to trace, so I assumed my money was lost forever.  After some time, I discovered information about GREAT WHIP RECOVERY CYBER SERVICES, a reputable digital asset recovery firm. I decided to reach out to them, and to my astonishment, they were able to help me recover the full amount I had lost.  I’m sharing my story in the hope that it may help someone else who is going through a similar situation and looking for support. Their contact is, Website: https://greatwhiprecoveryc.wixsite.com/greatwhip-site Email:[email protected] Call: +1(406)2729101

  • 27.01.26 09:29 robertalfred175

    CRYPTO SCAM RECOVERY SUCCESSFUL – A TESTIMONIAL OF LOST PASSWORD TO YOUR DIGITAL WALLET BACK. My name is Robert Alfred, Am from Australia. I’m sharing my experience in the hope that it helps others who have been victims of crypto scams. A few months ago, I fell victim to a fraudulent crypto investment scheme linked to a broker company. I had invested heavily during a time when Bitcoin prices were rising, thinking it was a good opportunity. Unfortunately, I was scammed out of $120,000 AUD and the broker denied me access to my digital wallet and assets. It was a devastating experience that caused many sleepless nights. Crypto scams are increasingly common and often involve fake trading platforms, phishing attacks, and misleading investment opportunities. In my desperation, a friend from the crypto community recommended Capital Crypto Recovery Service, known for helping victims recover lost or stolen funds. After doing some research and reading multiple positive reviews, I reached out to Capital Crypto Recovery. I provided all the necessary information—wallet addresses, transaction history, and communication logs. Their expert team responded immediately and began investigating. Using advanced blockchain tracking techniques, they were able to trace the stolen Dogecoin, identify the scammer’s wallet, and coordinate with relevant authorities to freeze the funds before they could be moved. Incredibly, within 24 hours, Capital Crypto Recovery successfully recovered the majority of my stolen crypto assets. I was beyond relieved and truly grateful. Their professionalism, transparency, and constant communication throughout the process gave me hope during a very difficult time. If you’ve been a victim of a crypto scam, I highly recommend them with full confidence contacting: 📧 Email: [email protected] 📱 Telegram: @Capitalcryptorecover Contact: [email protected] 📞 Call/Text: +1 (336) 390-6684 🌐 Website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 27.01.26 09:29 robertalfred175

    CRYPTO SCAM RECOVERY SUCCESSFUL – A TESTIMONIAL OF LOST PASSWORD TO YOUR DIGITAL WALLET BACK. My name is Robert Alfred, Am from Australia. I’m sharing my experience in the hope that it helps others who have been victims of crypto scams. A few months ago, I fell victim to a fraudulent crypto investment scheme linked to a broker company. I had invested heavily during a time when Bitcoin prices were rising, thinking it was a good opportunity. Unfortunately, I was scammed out of $120,000 AUD and the broker denied me access to my digital wallet and assets. It was a devastating experience that caused many sleepless nights. Crypto scams are increasingly common and often involve fake trading platforms, phishing attacks, and misleading investment opportunities. In my desperation, a friend from the crypto community recommended Capital Crypto Recovery Service, known for helping victims recover lost or stolen funds. After doing some research and reading multiple positive reviews, I reached out to Capital Crypto Recovery. I provided all the necessary information—wallet addresses, transaction history, and communication logs. Their expert team responded immediately and began investigating. Using advanced blockchain tracking techniques, they were able to trace the stolen Dogecoin, identify the scammer’s wallet, and coordinate with relevant authorities to freeze the funds before they could be moved. Incredibly, within 24 hours, Capital Crypto Recovery successfully recovered the majority of my stolen crypto assets. I was beyond relieved and truly grateful. Their professionalism, transparency, and constant communication throughout the process gave me hope during a very difficult time. If you’ve been a victim of a crypto scam, I highly recommend them with full confidence contacting: 📧 Email: [email protected] 📱 Telegram: @Capitalcryptorecover Contact: [email protected] 📞 Call/Text: +1 (336) 390-6684 🌐 Website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 27.01.26 09:32 robertalfred175

    CRYPTO SCAM RECOVERY SUCCESSFUL – A TESTIMONIAL OF LOST PASSWORD TO YOUR DIGITAL WALLET BACK. My name is Robert Alfred, Am from Australia. I’m sharing my experience in the hope that it helps others who have been victims of crypto scams. A few months ago, I fell victim to a fraudulent crypto investment scheme linked to a broker company. I had invested heavily during a time when Bitcoin prices were rising, thinking it was a good opportunity. Unfortunately, I was scammed out of $120,000 AUD and the broker denied me access to my digital wallet and assets. It was a devastating experience that caused many sleepless nights. Crypto scams are increasingly common and often involve fake trading platforms, phishing attacks, and misleading investment opportunities. In my desperation, a friend from the crypto community recommended Capital Crypto Recovery Service, known for helping victims recover lost or stolen funds. After doing some research and reading multiple positive reviews, I reached out to Capital Crypto Recovery. I provided all the necessary information—wallet addresses, transaction history, and communication logs. Their expert team responded immediately and began investigating. Using advanced blockchain tracking techniques, they were able to trace the stolen Dogecoin, identify the scammer’s wallet, and coordinate with relevant authorities to freeze the funds before they could be moved. Incredibly, within 24 hours, Capital Crypto Recovery successfully recovered the majority of my stolen crypto assets. I was beyond relieved and truly grateful. Their professionalism, transparency, and constant communication throughout the process gave me hope during a very difficult time. If you’ve been a victim of a crypto scam, I highly recommend them with full confidence contacting: 📧 Email: [email protected] 📱 Telegram: @Capitalcryptorecover Contact: [email protected] 📞 Call/Text: +1 (336) 390-6684 🌐 Website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 29.01.26 05:03 joyo

    The digital world of cryptocurrency offers big chances, but it also hides tricky scams. Losing your crypto to fraud feels awful. It can leave you feeling lost and violated. This guide tells you what to do right away if a crypto scam has hit you. These steps can help you get funds back or stop more trouble. Knowing what to do fast can change everything,reach marie ([email protected] and whatsapp:+1 7127594675)

  • 30.01.26 08:23 joseph67t

    It's a joy to write this review. Since I began working with Marie at the beginning of 2018, the service has been outstanding. Hackers stole my monies, and I was frightened about how I would get them back. I didn't know where to begin, consequently it was a nightmare for me. But once my friend told me about ([email protected] and whatsap:+1 7127594675), things became simple for me. I'm glad she was able to get my bitcoin back so I could start trading on Binance again!

  • 31.01.26 00:55 harristhomas7376

    "In the crypto world, this is great news I want to share. Last year, I fell victim to a scam disguised as a safe investment option. I have invested in crypto trading platforms for about 10yrs thinking I was ensuring myself a retirement income, only to find that all my assets were either frozen, I believed my assets were secure — until I discovered that my BTC funds had been frozen and withdrawals were impossible. It was a devastating moment when I realized I had been scammed, and I thought my Bitcoin was gone forever, Everything changed when a close friend recommended the Capital Crypto Recover Service. Their professionalism, expertise, and dedication enabled me to recover my lost Bitcoin funds back — more than €560.000 DEM to my BTC wallet. What once felt impossible became a reality thanks to their support. If you have lost Bitcoin through scams, hacking, failed withdrawals, or similar challenges, don’t lose hope. I strongly recommend Capital Crypto Recover Service to anyone seeking a reliable and effective solution for recovering any wallet assets. They have a proven track record of successful reputation in recovering lost password assets for their clients and can help you navigate the process of recovering your funds. Don’t let scammers get away with your hard-earned money – contact Email: [email protected] Phone CALL/Text Number: +1 (336) 390-6684 Contact: [email protected] Website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 31.01.26 00:55 harristhomas7376

    "In the crypto world, this is great news I want to share. Last year, I fell victim to a scam disguised as a safe investment option. I have invested in crypto trading platforms for about 10yrs thinking I was ensuring myself a retirement income, only to find that all my assets were either frozen, I believed my assets were secure — until I discovered that my BTC funds had been frozen and withdrawals were impossible. It was a devastating moment when I realized I had been scammed, and I thought my Bitcoin was gone forever, Everything changed when a close friend recommended the Capital Crypto Recover Service. Their professionalism, expertise, and dedication enabled me to recover my lost Bitcoin funds back — more than €560.000 DEM to my BTC wallet. What once felt impossible became a reality thanks to their support. If you have lost Bitcoin through scams, hacking, failed withdrawals, or similar challenges, don’t lose hope. I strongly recommend Capital Crypto Recover Service to anyone seeking a reliable and effective solution for recovering any wallet assets. They have a proven track record of successful reputation in recovering lost password assets for their clients and can help you navigate the process of recovering your funds. Don’t let scammers get away with your hard-earned money – contact Email: [email protected] Phone CALL/Text Number: +1 (336) 390-6684 Contact: [email protected] Website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 02.02.26 18:52 Christopherbelle

    Sylvester Bryant is a top crypto recovery agent! Then I contacted them with my story that i have been scammed. It took time, yet my stolen crypto was recovered . Need help? Reach out to Sylvester on WhatsApp at +1 512 577 7957 or +44 7428 662701. Or email yt7cracker@gmail . com.

  • 03.02.26 08:05 robertalfred175

    CRYPTO SCAM RECOVERY SUCCESSFUL – A TESTIMONIAL OF LOST PASSWORD TO YOUR DIGITAL WALLET BACK. My name is Robert Alfred, Am from Australia. I’m sharing my experience in the hope that it helps others who have been victims of crypto scams. A few months ago, I fell victim to a fraudulent crypto investment scheme linked to a broker company. I had invested heavily during a time when Bitcoin prices were rising, thinking it was a good opportunity. Unfortunately, I was scammed out of $120,000 AUD and the broker denied me access to my digital wallet and assets. It was a devastating experience that caused many sleepless nights. Crypto scams are increasingly common and often involve fake trading platforms, phishing attacks, and misleading investment opportunities. In my desperation, a friend from the crypto community recommended Capital Crypto Recovery Service, known for helping victims recover lost or stolen funds. After doing some research and reading multiple positive reviews, I reached out to Capital Crypto Recovery. I provided all the necessary information—wallet addresses, transaction history, and communication logs. Their expert team responded immediately and began investigating. Using advanced blockchain tracking techniques, they were able to trace the stolen Dogecoin, identify the scammer’s wallet, and coordinate with relevant authorities to freeze the funds before they could be moved. Incredibly, within 24 hours, Capital Crypto Recovery successfully recovered the majority of my stolen crypto assets. I was beyond relieved and truly grateful. Their professionalism, transparency, and constant communication throughout the process gave me hope during a very difficult time. If you’ve been a victim of a crypto scam, I highly recommend them with full confidence contacting: 📧 Email: [email protected] 📱 Telegram: @Capitalcryptorecover Contact: [email protected] 📞 Call/Text: +1 (336) 390-6684 🌐 Website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 03.02.26 08:05 robertalfred175

    CRYPTO SCAM RECOVERY SUCCESSFUL – A TESTIMONIAL OF LOST PASSWORD TO YOUR DIGITAL WALLET BACK. My name is Robert Alfred, Am from Australia. I’m sharing my experience in the hope that it helps others who have been victims of crypto scams. A few months ago, I fell victim to a fraudulent crypto investment scheme linked to a broker company. I had invested heavily during a time when Bitcoin prices were rising, thinking it was a good opportunity. Unfortunately, I was scammed out of $120,000 AUD and the broker denied me access to my digital wallet and assets. It was a devastating experience that caused many sleepless nights. Crypto scams are increasingly common and often involve fake trading platforms, phishing attacks, and misleading investment opportunities. In my desperation, a friend from the crypto community recommended Capital Crypto Recovery Service, known for helping victims recover lost or stolen funds. After doing some research and reading multiple positive reviews, I reached out to Capital Crypto Recovery. I provided all the necessary information—wallet addresses, transaction history, and communication logs. Their expert team responded immediately and began investigating. Using advanced blockchain tracking techniques, they were able to trace the stolen Dogecoin, identify the scammer’s wallet, and coordinate with relevant authorities to freeze the funds before they could be moved. Incredibly, within 24 hours, Capital Crypto Recovery successfully recovered the majority of my stolen crypto assets. I was beyond relieved and truly grateful. Their professionalism, transparency, and constant communication throughout the process gave me hope during a very difficult time. If you’ve been a victim of a crypto scam, I highly recommend them with full confidence contacting: 📧 Email: [email protected] 📱 Telegram: @Capitalcryptorecover Contact: [email protected] 📞 Call/Text: +1 (336) 390-6684 🌐 Website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 04.02.26 16:23 borutaralf

    GREAT WHIP RECOVERY CYBER SERVICES TRUSTED EXPERTS IN ONLINE RECOVERY SOLUTIONS PHONE CALL:+1(406)2729101 I was unfortunately deceived and scammed out of $88,000 by someone I trusted to manage my funds during a transaction we carried out together. The experience left me deeply disappointed and hurt, realizing that someone could betray that level of trust without any remorse. Determined to seek justice and recover what was stolen, I began searching for legal assistance and came across numerous testimonials about GREAT WHIP RECOVERY CYBER SERVICES, a group known for helping victims recover lost funds. From what I learned, they have successfully assisted many people facing similar situations, returning stolen funds to their rightful owners in a remarkably short time. In my case, the GREAT WHIP RECOVERY CYBER SERVICES were able to recover my funds within just 48 hours, which was truly unbelievable. Even more reassuring was the fact that the scammer was identified, located, and eventually arrested by local authorities in his region. That outcome brought a great sense of relief and closure. I hope this information helps others who have lost their hard-earned money due to misplaced trust. If you’re in a similar situation, you can contact them through their info below to seek help in recovering your stolen funds.  Email: [email protected]  Website https://greatwhiprecoveryc.wixsite.com/greatwhip-site  Phone Call:+1(406)2729101

  • 04.02.26 16:24 borutaralf

    GREAT WHIP RECOVERY CYBER SERVICES TRUSTED EXPERTS IN ONLINE RECOVERY SOLUTIONS PHONE CALL:+1(406)2729101 I was unfortunately deceived and scammed out of $88,000 by someone I trusted to manage my funds during a transaction we carried out together. The experience left me deeply disappointed and hurt, realizing that someone could betray that level of trust without any remorse. Determined to seek justice and recover what was stolen, I began searching for legal assistance and came across numerous testimonials about GREAT WHIP RECOVERY CYBER SERVICES, a group known for helping victims recover lost funds. From what I learned, they have successfully assisted many people facing similar situations, returning stolen funds to their rightful owners in a remarkably short time. In my case, the GREAT WHIP RECOVERY CYBER SERVICES were able to recover my funds within just 48 hours, which was truly unbelievable. Even more reassuring was the fact that the scammer was identified, located, and eventually arrested by local authorities in his region. That outcome brought a great sense of relief and closure. I hope this information helps others who have lost their hard-earned money due to misplaced trust. If you’re in a similar situation, you can contact them through their info below to seek help in recovering your stolen funds.  Email: [email protected]  Website https://greatwhiprecoveryc.wixsite.com/greatwhip-site  Phone Call:+1(406)2729101

  • 04.02.26 17:11 wendytaylor015

    My name is Wendy Taylor, I'm from Los Angeles, i want to announce to you Viewer how Capital Crypto Recover help me to restore my Lost Bitcoin, I invested with a Crypto broker without proper research to know what I was hoarding my hard-earned money into scammers, i lost access to my crypto wallet or had your funds stolen? Don’t worry Capital Crypto Recover is here to help you recover your cryptocurrency with cutting-edge technical expertise, With years of experience in the crypto world, Capital Crypto Recover employs the best latest tools and ethical hacking techniques to help you recover lost assets, unlock hacked accounts, Whether it’s a forgotten password, Capital Crypto Recover has the expertise to help you get your crypto back. a security company service that has a 100% success rate in the recovery of crypto assets, i lost wallet and hacked accounts. I provided them the information they requested and they began their investigation. To my surprise, Capital Crypto Recover was able to trace and recover my crypto assets successfully within 24hours. Thank you for your service in helping me recover my $647,734 worth of crypto funds and I highly recommend their recovery services, they are reliable and a trusted company to any individuals looking to recover lost money. Contact email [email protected] OR Telegram @Capitalcryptorecover Call/Text Number +1 (336)390-6684 his contact: [email protected] His website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 05.02.26 12:07 Thomas Muller

    YOU CAN REACH OUT TO GREAT WHIP RECOVERY CYBER SERVICES FOR HELP TO RECOVER YOUR STOLEN BTC OR ETH BACK CALL:+1(406)2729101 I once fell victim to online investment scheme that cost me a devastating €254,000. I’m Thomas Muller from Berlin, Germany. The person I trusted turned out to be a fraud, and the moment I realized I’d been deceived, my entire world stopped. I immediately began searching for legitimate ways to recover my funds and hold the scammer accountable. During my search, I came across several testimonies of how Great Whip Recovery Cyber Services helped some people recover money they lost to cyber fraud, I contacted Great Whip Recovery Cyber Service team and provided all the evidence I had. Within about 36 hours, the experts traced the digital trail left by the fraudster, the individual was eventually tracked down and I recovered all my money back. You can contact them with,  website https://greatwhiprecoveryc.wixsite.com/greatwhip-site  text +1(406)2729101 email [email protected]

  • 05.02.26 15:46 feliciabotezatu

    Losing access to your cryptocurrency can be devastating—whether you’ve been scammed, hacked, or locked out due to a forgotten password. Many assume their digital assets are gone forever. But with the right expertise, recovery is not only possible—it’s our daily reality. At TECHY FORCE CYBER RETRIEVAL (TFCR), we’re a globally recognized, fully legitimate crypto recovery service dedicated to helping victims reclaim lost or stolen digital assets—safely, ethically, and effectively. Who We Are Backed by a team of certified blockchain forensic analysts, cybersecurity specialists, and ethical hackers, TFCR has recovered millions of dollars in Bitcoin, Ethereum, USDT, and other major cryptocurrencies for clients worldwide. We specialize in cases involving: - Investment scams and fake platforms - Wallet hacks and unauthorized transactions - Forgotten passwords, seed phrases, or corrupted backups - Inaccessible hardware or software wallets Our mission is clear: Help you recover what’s rightfully yours—with honesty, transparency, and proven results. How We Work 1. Confidential Case Review Share your situation with us—no cost, no obligation. We assess whether your case is recoverable based on transaction data, wallet details, and loss type. 2. Advanced Blockchain Forensics Using industry-leading tools, we trace your funds across blockchains, identify destination addresses, and determine if assets are held on exchanges or recoverable platforms—even after complex laundering attempts. 3. Custom Recovery Execution Depending on your case, we: - Reconstruct access to locked wallets using secure decryption methods - Engage with exchanges or payment processors to freeze or retrieve funds - Provide forensic reports to support legal or compliance actions - Negotiate with third parties when appropriate and safe 4. Secure Return & Prevention Advice Recovered assets go directly to a wallet you control. We also offer practical guidance to help you avoid future losses—because security starts after recovery. Why Choose TFCR? No Recovery, No Fee – You only pay upon successful retrieval Legitimate & Transparent – No upfront payments, no hidden costs Global Expertise – Proven success across 50+ countries Ethical Standards – All actions comply with cybersecurity and privacy best practices While crypto threats grow daily, so does our resolve. At TECHY FORCE CYBER RETRIEVAL, we don’t just track transactions—we restore trust, hope, and financial peace of mind. Don’t give up on your crypto. Act now—before critical evidence disappears. 📧 Email: [email protected] 🌐 Visit: Official https://techyforcecyberretrieval.com Website] 🕒 Available 24/7 for urgent cases Your crypto may be missing—but with TFCR, it’s never truly lost. ©️ 2026 TECHY FORCE CYBER RETRIEVAL — Trusted. Professional. Results-Driven.

  • 05.02.26 15:52 harryjones5

    How Can I Contact a Cryptocurrency Recovery Company? Visit iFORCE HACKER RECOVERY  I realize how volatile and thrilling cryptocurrency can be. After joining a Telegram-based service, I made consistent profits for six months before unexpected faults deprived me of approximately $343,000. Withdrawal blunders, little help, and rising dread kept me stuck. I then discovered iForce Hacker Recovery from positive reviews. They replied swiftly, handled my issue professionally, and walked me through every step. My valuables were returned within a week, giving me back my confidence. I heartily recommend their dependable, professional aid services. Contact Info: Website address: htt p:// iforcehackers. co m. Email: iforcehk @ consultant .co m WhatsApp: +1 240 803-3706

  • 06.02.26 14:44 feliciabotezatu

    Losing access to your cryptocurrency can be devastating—whether you’ve been scammed, hacked, or locked out due to a forgotten password. Many assume their digital assets are gone forever. But with the right expertise, recovery is not only possible—it’s our daily reality. At TECHY FORCE CYBER RETRIEVAL (TFCR), we’re a globally recognized, fully legitimate crypto recovery service dedicated to helping victims reclaim lost or stolen digital assets—safely, ethically, and effectively. Who We Are   Backed by a team of certified blockchain forensic analysts, cybersecurity specialists, and ethical hackers, TFCR has recovered millions of dollars in Bitcoin, Ethereum, USDT, and other major cryptocurrencies for clients worldwide. We specialize in cases involving: - Investment scams and fake platforms   - Wallet hacks and unauthorized transactions   - Forgotten passwords, seed phrases, or corrupted backups   - Inaccessible hardware or software wallets   Our mission is clear: Help you recover what’s rightfully yours—with honesty, transparency, and proven results. How We Work   1. Confidential Case Review      Share your situation with us—no cost, no obligation. We assess whether your case is recoverable based on transaction data, wallet details, and loss type. 2. Advanced Blockchain Forensics      Using industry-leading tools, we trace your funds across blockchains, identify destination addresses, and determine if assets are held on exchanges or recoverable platforms—even after complex laundering attempts. 3. Custom Recovery Execution      Depending on your case, we:      - Reconstruct access to locked wallets using secure decryption methods      - Engage with exchanges or payment processors to freeze or retrieve funds      - Provide forensic reports to support legal or compliance actions      - Negotiate with third parties when appropriate and safe   4. Secure Return & Prevention Advice      Recovered assets go directly to a wallet you control. We also offer practical guidance to help you avoid future losses—because security starts after recovery. Why Choose TFCR?   No Recovery, No Fee – You only pay upon successful retrieval   Legitimate & Transparent – No upfront payments, no hidden costs   Global Expertise – Proven success across 50+ countries   Ethical Standards – All actions comply with cybersecurity and privacy best practices   While crypto threats grow daily, so does our resolve. At TECHY FORCE CYBER RETRIEVAL, we don’t just track transactions—we restore trust, hope, and financial peace of mind. Don’t give up on your crypto.   Act now—before critical evidence disappears.   Email: [email protected]   Visit: Official https://techyforcecyberretrieval.com  Website]   Available 24/7 for urgent cases   Your crypto may be missing—but with TFCR, it’s never truly lost.     ©️ 2026 TECHY FORCE CYBER RETRIEVAL — Trusted. Professional. Results-Driven.

  • 07.02.26 00:44 marcushenderson624

    Bitcoin Recovery Testimonial After falling victim to a cryptocurrency scam group, I lost $354,000 worth of USDT. I thought all hope was lost from the experience of losing my hard-earned money to scammers. I was devastated and believed there was no way to recover my funds. Fortunately, I started searching for help to recover my stolen funds and I came across a lot of testimonials online about Capital Crypto Recovery, an agent who helps in recovery of lost bitcoin funds, I contacted Capital Crypto Recover Service, and with their expertise, they successfully traced and recovered my stolen assets. Their team was professional, kept me updated throughout the process, and demonstrated a deep understanding of blockchain transactions and recovery protocols. They are trusted and very reliable with a 100% successful rate record Recovery bitcoin, I’m grateful for their help and highly recommend their services to anyone seeking assistance with lost crypto. Contact: [email protected] Phone CALL/Text Number: +1 (336) 390-6684 Email: [email protected] Website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 07.02.26 00:44 marcushenderson624

    Bitcoin Recovery Testimonial After falling victim to a cryptocurrency scam group, I lost $354,000 worth of USDT. I thought all hope was lost from the experience of losing my hard-earned money to scammers. I was devastated and believed there was no way to recover my funds. Fortunately, I started searching for help to recover my stolen funds and I came across a lot of testimonials online about Capital Crypto Recovery, an agent who helps in recovery of lost bitcoin funds, I contacted Capital Crypto Recover Service, and with their expertise, they successfully traced and recovered my stolen assets. Their team was professional, kept me updated throughout the process, and demonstrated a deep understanding of blockchain transactions and recovery protocols. They are trusted and very reliable with a 100% successful rate record Recovery bitcoin, I’m grateful for their help and highly recommend their services to anyone seeking assistance with lost crypto. Contact: [email protected] Phone CALL/Text Number: +1 (336) 390-6684 Email: [email protected] Website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 07.02.26 04:43 Matt Kegan

    Reach out to SolidBlock Forensics if you want to get back your coins from fake crypto investment or your wallet was compromised and all your coins gone. SolidBlock Forensics provide deep ethical analysis and investigation that enables them to trace these schemes, and recover all your funds. Their services are professional and reliable.  http://www.solidblockforensics.com

  • 07.02.26 17:31 robertalfred175

    CRYPTO SCAM RECOVERY SUCCESSFUL – A TESTIMONIAL OF LOST PASSWORD TO YOUR DIGITAL WALLET BACK. My name is Robert Alfred, Am from Australia. I’m sharing my experience in the hope that it helps others who have been victims of crypto scams. A few months ago, I fell victim to a fraudulent crypto investment scheme linked to a broker company. I had invested heavily during a time when Bitcoin prices were rising, thinking it was a good opportunity. Unfortunately, I was scammed out of $120,000 AUD and the broker denied me access to my digital wallet and assets. It was a devastating experience that caused many sleepless nights. Crypto scams are increasingly common and often involve fake trading platforms, phishing attacks, and misleading investment opportunities. In my desperation, a friend from the crypto community recommended Capital Crypto Recovery Service, known for helping victims recover lost or stolen funds. After doing some research and reading multiple positive reviews, I reached out to Capital Crypto Recovery. I provided all the necessary information—wallet addresses, transaction history, and communication logs. Their expert team responded immediately and began investigating. Using advanced blockchain tracking techniques, they were able to trace the stolen Dogecoin, identify the scammer’s wallet, and coordinate with relevant authorities to freeze the funds before they could be moved. Incredibly, within 24 hours, Capital Crypto Recovery successfully recovered the majority of my stolen crypto assets. I was beyond relieved and truly grateful. Their professionalism, transparency, and constant communication throughout the process gave me hope during a very difficult time. If you’ve been a victim of a crypto scam, I highly recommend them with full confidence contacting: 📧 Email: [email protected] 📱 Telegram: @Capitalcryptorecover Contact: [email protected] 📞 Call/Text: +1 (336) 390-6684 🌐 Website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 10.02.26 23:52 frankqq

    It is a pleasure to write this review. Since I began working with Marie in early 2018, the service has been outstanding. My coins were stolen by hackers, and I was afraid I wouldn't be able to recover them. It was a nightmare for me because I didn't know where to start. But after my friend told me about [email protected] and whatsapp:+1 7127594675, things became simple for me. I'm glad she was able to get my bitcoin back so I could start trading again.

  • 11.02.26 05:50 patricialovick86

    How To Recover Your Bitcoin Without Falling Victim To Scams: A Testimony Experience With Capital Crypto Recover Services, Contact Telegram: @Capitalcryptorecover Dear Everyone, I would like to take a moment to share my positive experience with Capital Crypto Recover Services. Initially, I was unsure if it would be possible to recover my stolen bitcoins. However, with their expertise and professionalism, I was able to fully recover my funds. Unfortunately, many individuals fall victim to scams in the cryptocurrency space, especially those involving fraudulent investment platforms. However, I advise caution, as not all recovery services are legitimate. I personally lost $273,000 worth of Bitcoin from my Binance account due to a deceptive platform. If you have suffered a similar loss, you may be considering crypto recovery, The Capital Crypto Recover is the most knowledgeable and effective Capital Crypto Recovery Services assisted me in recovering my stolen funds within 24 hours, after getting access to my wallet. Their service was not only prompt but also highly professional and effective, and many recovery services may not be trustworthy. Therefore, I highly recommend Capital Crypto Recover to you. i do always research and see reviews about their service, For assistance finding your misplaced cryptocurrency, get in touch with them, They do their jobs quickly and excellently, Stay safe and vigilant in the crypto world. Contact: [email protected] You can reach them via email at [email protected] OR Call/Text Number +1 (336)390-6684 his contact website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 11.02.26 05:50 patricialovick86

    How To Recover Your Bitcoin Without Falling Victim To Scams: A Testimony Experience With Capital Crypto Recover Services, Contact Telegram: @Capitalcryptorecover Dear Everyone, I would like to take a moment to share my positive experience with Capital Crypto Recover Services. Initially, I was unsure if it would be possible to recover my stolen bitcoins. However, with their expertise and professionalism, I was able to fully recover my funds. Unfortunately, many individuals fall victim to scams in the cryptocurrency space, especially those involving fraudulent investment platforms. However, I advise caution, as not all recovery services are legitimate. I personally lost $273,000 worth of Bitcoin from my Binance account due to a deceptive platform. If you have suffered a similar loss, you may be considering crypto recovery, The Capital Crypto Recover is the most knowledgeable and effective Capital Crypto Recovery Services assisted me in recovering my stolen funds within 24 hours, after getting access to my wallet. Their service was not only prompt but also highly professional and effective, and many recovery services may not be trustworthy. Therefore, I highly recommend Capital Crypto Recover to you. i do always research and see reviews about their service, For assistance finding your misplaced cryptocurrency, get in touch with them, They do their jobs quickly and excellently, Stay safe and vigilant in the crypto world. Contact: [email protected] You can reach them via email at [email protected] OR Call/Text Number +1 (336)390-6684 his contact website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 12.02.26 23:55 brouwerspatrick8

    I’ve always believed that sustainability begins at home—not just in how we recycle or conserve energy, but in the very structures we live in. For years, I dreamed of building a zero-waste neighborhood where every house functions like a living ecosystem: solar-powered, water-wise, and crowned with rooftop greenhouses that feed families and filter air. It wasn’t just architecture—it was my vision for a quieter, cleaner future. To make it real, I turned to Bitcoin. Not as a speculative bet, but as a long-term store of value aligned with my values—decentralized, transparent, and independent of broken systems. Over seven years, I poured savings, side income, and relentless discipline into building a $680,000 crypto portfolio. Every coin had a purpose: permits, materials, and community partnerships. My dream had a balance sheet. Then, in one exhausted, distracted moment, it all collapsed. It was November 2025. I was juggling contractor delays, city inspections, and endless design revisions. My nerves were frayed, my coffee pot never empty. When a “Ledger Live Update” notification popped up, I didn’t think twice. The interface looked identical—same logo, same layout. I entered my credentials… and within seconds, the app disappeared. My wallet balance dropped to zero. I sat frozen. My stomach dropped. All that work—years of sacrifice—gone in a blink. The days that followed were dark. I scoured forums, filed reports, and replayed my mistake on loop. Guilt ate at me. How could I have been so careless? My greenhouse renderings sat untouched. My dream felt like a cruel joke. Just when I was ready to walk away, I stumbled upon a newsletter about green innovation. Tucked between articles on carbon-neutral cities and next-gen solar panels was a short feature on *Digital Light Solution*—a specialized team that helps victims of crypto theft recover stolen assets. Skeptical but desperate, I reached out. What followed wasn’t magic—but it was close to it. Their team treated my case with urgency and compassion. They traced the transaction trail, identified the laundering path, and worked with exchanges to freeze what they could. Within weeks, they’d recovered a significant portion of my funds—enough to restart. Today, I’m not just rebuilding my portfolio—I’m breaking ground on my prototype greenhouse. And every beam, every pane of glass, carries the lesson I learned: that even in our most vulnerable moments, there’s still light to be found. [email protected] Telegram ——digitallightsolution website https://digitallightsolution.com/ WHAT'S  APP  https://wa.link/989vlf 

  • 12.02.26 23:56 brouwerspatrick8

    I’ve always believed that sustainability begins at home—not just in how we recycle or conserve energy, but in the very structures we live in. For years, I dreamed of building a zero-waste neighborhood where every house functions like a living ecosystem: solar-powered, water-wise, and crowned with rooftop greenhouses that feed families and filter air. It wasn’t just architecture—it was my vision for a quieter, cleaner future. To make it real, I turned to Bitcoin. Not as a speculative bet, but as a long-term store of value aligned with my values—decentralized, transparent, and independent of broken systems. Over seven years, I poured savings, side income, and relentless discipline into building a $680,000 crypto portfolio. Every coin had a purpose: permits, materials, and community partnerships. My dream had a balance sheet. Then, in one exhausted, distracted moment, it all collapsed. It was November 2025. I was juggling contractor delays, city inspections, and endless design revisions. My nerves were frayed, my coffee pot never empty. When a “Ledger Live Update” notification popped up, I didn’t think twice. The interface looked identical—same logo, same layout. I entered my credentials… and within seconds, the app disappeared. My wallet balance dropped to zero. I sat frozen. My stomach dropped. All that work—years of sacrifice—gone in a blink. The days that followed were dark. I scoured forums, filed reports, and replayed my mistake on loop. Guilt ate at me. How could I have been so careless? My greenhouse renderings sat untouched. My dream felt like a cruel joke. Just when I was ready to walk away, I stumbled upon a newsletter about green innovation. Tucked between articles on carbon-neutral cities and next-gen solar panels was a short feature on *Digital Light Solution*—a specialized team that helps victims of crypto theft recover stolen assets. Skeptical but desperate, I reached out. What followed wasn’t magic—but it was close to it. Their team treated my case with urgency and compassion. They traced the transaction trail, identified the laundering path, and worked with exchanges to freeze what they could. Within weeks, they’d recovered a significant portion of my funds—enough to restart. Today, I’m not just rebuilding my portfolio—I’m breaking ground on my prototype greenhouse. And every beam, every pane of glass, carries the lesson I learned: that even in our most vulnerable moments, there’s still light to be found. [email protected] Telegram ——digitallightsolution website https://digitallightsolution.com/ WHAT'S  APP  https://wa.link/989vlf 

  • 13.02.26 00:17 marcushenderson624

    Bitcoin Recovery Testimonial After falling victim to a cryptocurrency scam group, I lost $354,000 worth of USDT. I thought all hope was lost from the experience of losing my hard-earned money to scammers. I was devastated and believed there was no way to recover my funds. Fortunately, I started searching for help to recover my stolen funds and I came across a lot of testimonials online about Capital Crypto Recovery, an agent who helps in recovery of lost bitcoin funds, I contacted Capital Crypto Recover Service, and with their expertise, they successfully traced and recovered my stolen assets. Their team was professional, kept me updated throughout the process, and demonstrated a deep understanding of blockchain transactions and recovery protocols. They are trusted and very reliable with a 100% successful rate record Recovery bitcoin, I’m grateful for their help and highly recommend their services to anyone seeking assistance with lost crypto. Contact: [email protected] Phone CALL/Text Number: +1 (336) 390-6684 Email: [email protected] Website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 13.02.26 00:17 marcushenderson624

    Bitcoin Recovery Testimonial After falling victim to a cryptocurrency scam group, I lost $354,000 worth of USDT. I thought all hope was lost from the experience of losing my hard-earned money to scammers. I was devastated and believed there was no way to recover my funds. Fortunately, I started searching for help to recover my stolen funds and I came across a lot of testimonials online about Capital Crypto Recovery, an agent who helps in recovery of lost bitcoin funds, I contacted Capital Crypto Recover Service, and with their expertise, they successfully traced and recovered my stolen assets. Their team was professional, kept me updated throughout the process, and demonstrated a deep understanding of blockchain transactions and recovery protocols. They are trusted and very reliable with a 100% successful rate record Recovery bitcoin, I’m grateful for their help and highly recommend their services to anyone seeking assistance with lost crypto. Contact: [email protected] Phone CALL/Text Number: +1 (336) 390-6684 Email: [email protected] Website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 13.02.26 02:16 Ralf Boruta

    GREAT WHIP RECOVERY CYBER SERVICES TRUSTED EXPERTS IN ONLINE RECOVERY SOLUTIONS PHONE CALL:+1(406)2729101 I was unfortunately deceived and scammed out of $88,000 by someone I trusted to manage my funds during a transaction we carried out together. The experience left me deeply disappointed and hurt, realizing that someone could betray that level of trust without any remorse. Determined to seek justice and recover what was stolen, I began searching for legal assistance and came across numerous testimonials about GREAT WHIP RECOVERY CYBER SERVICES, a group known for helping victims recover lost funds. From what I learned, they have successfully assisted many people facing similar situations, returning stolen funds to their rightful owners in a remarkably short time. In my case, the GREAT WHIP RECOVERY CYBER SERVICES were able to recover my funds within just 48 hours, which was truly unbelievable. Even more reassuring was the fact that the scammer was identified, located, and eventually arrested by local authorities in his region. That outcome brought a great sense of relief and closure. I hope this information helps others who have lost their hard-earned money due to misplaced trust. If you’re in a similar situation, you can contact them through their info below to seek help in recovering your stolen funds.  Email: [email protected]  Website https://greatwhiprecoveryc.wixsite.com/greatwhip-site  Phone Call:+1(406)2729101

  • 13.02.26 02:16 Ralf Boruta

    GREAT WHIP RECOVERY CYBER SERVICES TRUSTED EXPERTS IN ONLINE RECOVERY SOLUTIONS PHONE CALL:+1(406)2729101 I was unfortunately deceived and scammed out of $88,000 by someone I trusted to manage my funds during a transaction we carried out together. The experience left me deeply disappointed and hurt, realizing that someone could betray that level of trust without any remorse. Determined to seek justice and recover what was stolen, I began searching for legal assistance and came across numerous testimonials about GREAT WHIP RECOVERY CYBER SERVICES, a group known for helping victims recover lost funds. From what I learned, they have successfully assisted many people facing similar situations, returning stolen funds to their rightful owners in a remarkably short time. In my case, the GREAT WHIP RECOVERY CYBER SERVICES were able to recover my funds within just 48 hours, which was truly unbelievable. Even more reassuring was the fact that the scammer was identified, located, and eventually arrested by local authorities in his region. That outcome brought a great sense of relief and closure. I hope this information helps others who have lost their hard-earned money due to misplaced trust. If you’re in a similar situation, you can contact them through their info below to seek help in recovering your stolen funds.  Email: [email protected]  Website https://greatwhiprecoveryc.wixsite.com/greatwhip-site  Phone Call:+1(406)2729101

  • 13.02.26 18:29 robertalfred175

    CRYPTO SCAM RECOVERY SUCCESSFUL – A TESTIMONIAL OF LOST PASSWORD TO YOUR DIGITAL WALLET BACK. My name is Robert Alfred, Am from Australia. I’m sharing my experience in the hope that it helps others who have been victims of crypto scams. A few months ago, I fell victim to a fraudulent crypto investment scheme linked to a broker company. I had invested heavily during a time when Bitcoin prices were rising, thinking it was a good opportunity. Unfortunately, I was scammed out of $120,000 AUD and the broker denied me access to my digital wallet and assets. It was a devastating experience that caused many sleepless nights. Crypto scams are increasingly common and often involve fake trading platforms, phishing attacks, and misleading investment opportunities. In my desperation, a friend from the crypto community recommended Capital Crypto Recovery Service, known for helping victims recover lost or stolen funds. After doing some research and reading multiple positive reviews, I reached out to Capital Crypto Recovery. I provided all the necessary information—wallet addresses, transaction history, and communication logs. Their expert team responded immediately and began investigating. Using advanced blockchain tracking techniques, they were able to trace the stolen Dogecoin, identify the scammer’s wallet, and coordinate with relevant authorities to freeze the funds before they could be moved. Incredibly, within 24 hours, Capital Crypto Recovery successfully recovered the majority of my stolen crypto assets. I was beyond relieved and truly grateful. Their professionalism, transparency, and constant communication throughout the process gave me hope during a very difficult time. If you’ve been a victim of a crypto scam, I highly recommend them with full confidence contacting: 📧 Email: [email protected] 📱 Telegram: @Capitalcryptorecover Contact: [email protected] 📞 Call/Text: +1 (336) 390-6684 🌐 Website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 13.02.26 18:29 robertalfred175

    CRYPTO SCAM RECOVERY SUCCESSFUL – A TESTIMONIAL OF LOST PASSWORD TO YOUR DIGITAL WALLET BACK. My name is Robert Alfred, Am from Australia. I’m sharing my experience in the hope that it helps others who have been victims of crypto scams. A few months ago, I fell victim to a fraudulent crypto investment scheme linked to a broker company. I had invested heavily during a time when Bitcoin prices were rising, thinking it was a good opportunity. Unfortunately, I was scammed out of $120,000 AUD and the broker denied me access to my digital wallet and assets. It was a devastating experience that caused many sleepless nights. Crypto scams are increasingly common and often involve fake trading platforms, phishing attacks, and misleading investment opportunities. In my desperation, a friend from the crypto community recommended Capital Crypto Recovery Service, known for helping victims recover lost or stolen funds. After doing some research and reading multiple positive reviews, I reached out to Capital Crypto Recovery. I provided all the necessary information—wallet addresses, transaction history, and communication logs. Their expert team responded immediately and began investigating. Using advanced blockchain tracking techniques, they were able to trace the stolen Dogecoin, identify the scammer’s wallet, and coordinate with relevant authorities to freeze the funds before they could be moved. Incredibly, within 24 hours, Capital Crypto Recovery successfully recovered the majority of my stolen crypto assets. I was beyond relieved and truly grateful. Their professionalism, transparency, and constant communication throughout the process gave me hope during a very difficult time. If you’ve been a victim of a crypto scam, I highly recommend them with full confidence contacting: 📧 Email: [email protected] 📱 Telegram: @Capitalcryptorecover Contact: [email protected] 📞 Call/Text: +1 (336) 390-6684 🌐 Website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 17.02.26 23:59 Lilyfox

    These group of CYBER GURUS below helped my family in ​recovering stolen bitcoin by scammers and they also helped me in securing a university title in one of the best university in the world I'm saying a very big thank you to them contact them now ; [email protected] or WhatsApp +​4​47476606228 -Recovery of funds from fake platform/BINARY TRADING - Retrieval of fraudulent funds - Bank Transfer service - BITCOIN TOP UP - Money, recovery from any country in the world - Change of university degrees - Spying of all social media account within - Sales of Blank ATM and Credit Cards - Sales of university Titles originals. - Clearing of bank debts - University title offer and so many others ... Despite all odds these internet gurus have proven themselves worthy to be called a professional Cyber genius ... once again i beat up my chest to confess that these group of cyber gurus are reliable and satisfactory with 100% reliability.....

  • 18.02.26 00:01 Lilyfox

    GENERAL HACKING AND CRYPTO RECOVERY SERVICES These group of CYBER GURUS below helped my family in ​recovering stolen bitcoin worth of $168,000 USD by scammers and they also helped me in securing a university title in one of the best university in the world I'm saying a very big thank you to them contact them now ; [email protected] or WhatsApp +​4​47476606228 -Recovery of funds from fake platform/BINARY TRADING - Retrieval of fraudulent funds - Bank Transfer service - BITCOIN TOP UP - Money, recovery from any country in the world - Change of university degrees - Spying of all social media account within - Sales of Blank ATM and Credit Cards - Sales of university Titles originals. - Clearing of bank debts - University title offer and so many others ... Despite all odds these internet gurus have proven themselves worthy to be called a professional Cyber genius ... once again i beat up my chest to confess that these group of cyber gurus are reliable and satisfactory with 100% reliability.....

  • 18.02.26 03:23 walterlindahi9

    This past January, my world came crashing down. I lost nearly $42,000 of my hard-earned savings to a sophisticated Solana-based crypto scam. At first, it all seemed legitimate: sleek website, professional whitepaper, even glowing testimonials from “investors.” I’d done my homework, or so I thought. The promise of high returns in a volatile market felt like my ticket to financial freedom. For the first few months, everything appeared to be working. My portfolio showed steady gains. I remember checking my wallet balance daily, feeling a mix of pride and relief. I’ve cracked the code to building real wealth. Then, without warning, the platform vanished. Wallet addresses went dead. Support channels disappeared, and my funds were gone in an instant. The emotional fallout was worse than the financial loss. Sleepless nights became the norm. Anxiety gnawed at me constantly. I replayed every decision in my head, blaming myself for being naive. I vowed never to trust anyone again, not influencers, not experts, not even my own judgment. But giving up wasn’t an option. I owed it to myself and to my future to fight back. So I began digging. I scoured Reddit threads, filed reports with blockchain analytics firms, and even contacted local authorities (though they offered little help). The more I searched, the more overwhelmed I became, lost in a labyrinth of technical jargon, dead ends, and predatory recovery services asking for upfront fees. Then, through a survivor’s forum, I stumbled upon TechY Force Cyber Retrieval. Skeptical but desperate, I reached out. What set them apart wasn’t just their expertise; it was their empathy. They didn’t make wild promises. Instead, they walked me through how crypto tracing works, what success looks like, and what realistic timelines are. No pressure. No false hope. Within weeks, their forensic team identified transaction trails linked to the scam wallet. Using on-chain analysis and coordination with exchanges, they flagged suspicious activity and initiated recovery protocols. It wasn’t magic, but it was methodical, transparent, and grounded in real blockchain intelligence. Today, I’m cautiously optimistic. While not all funds have been recovered yet, TechY Force has already secured a significant portion and, more importantly, restored my sense of agency. I’m sleeping again. I’m healing. If you’ve been scammed, know this: you’re not alone, and you’re not foolish. Crypto fraud preys on hope, but that same hope can fuel your comeback. Don’t suffer in silence. Reach out. Ask questions. And never let a scammer steal your future along with your funds. WhatsApp +1(561) 726 3697 Mail. Techyforcecyberretrieval(@)consultant(.)com Telegram (@)TechCyberforc

  • 22.02.26 03:48 harristhomas7376

    "In the crypto world, this is great news I want to share. Last year, I fell victim to a scam disguised as a safe investment option. I have invested in crypto trading platforms for about 10yrs thinking I was ensuring myself a retirement income, only to find that all my assets were either frozen, I believed my assets were secure — until I discovered that my BTC funds had been frozen and withdrawals were impossible. It was a devastating moment when I realized I had been scammed, and I thought my Bitcoin was gone forever, Everything changed when a close friend recommended the Capital Crypto Recover Service. Their professionalism, expertise, and dedication enabled me to recover my lost Bitcoin funds back — more than €560.000 DEM to my BTC wallet. What once felt impossible became a reality thanks to their support. If you have lost Bitcoin through scams, hacking, failed withdrawals, or similar challenges, don’t lose hope. I strongly recommend Capital Crypto Recover Service to anyone seeking a reliable and effective solution for recovering any wallet assets. They have a proven track record of successful reputation in recovering lost password assets for their clients and can help you navigate the process of recovering your funds. Don’t let scammers get away with your hard-earned money – contact Email: [email protected] Phone CALL/Text Number: +1 (336) 390-6684 Contact: [email protected] Website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 22.02.26 03:49 harristhomas7376

    "In the crypto world, this is great news I want to share. Last year, I fell victim to a scam disguised as a safe investment option. I have invested in crypto trading platforms for about 10yrs thinking I was ensuring myself a retirement income, only to find that all my assets were either frozen, I believed my assets were secure — until I discovered that my BTC funds had been frozen and withdrawals were impossible. It was a devastating moment when I realized I had been scammed, and I thought my Bitcoin was gone forever, Everything changed when a close friend recommended the Capital Crypto Recover Service. Their professionalism, expertise, and dedication enabled me to recover my lost Bitcoin funds back — more than €560.000 DEM to my BTC wallet. What once felt impossible became a reality thanks to their support. If you have lost Bitcoin through scams, hacking, failed withdrawals, or similar challenges, don’t lose hope. I strongly recommend Capital Crypto Recover Service to anyone seeking a reliable and effective solution for recovering any wallet assets. They have a proven track record of successful reputation in recovering lost password assets for their clients and can help you navigate the process of recovering your funds. Don’t let scammers get away with your hard-earned money – contact Email: [email protected] Phone CALL/Text Number: +1 (336) 390-6684 Contact: [email protected] Website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 22.02.26 18:58 Natasha Williams

    I am Natasha Williams from Dallas. I want to share my testimony to encourage anyone who has ever fallen victim to a scam or fraud. Some time ago, I was defrauded by some fraudulent cryptocurrency investment organization online, I was a victim and I lost a huge amount of money, $382,000. I felt angry, disappointed and helpless but I refused to give up and stay calm. I came across this agency, GREAT WHIP RECOVERY CYBER SERVICES.. who helped people recover their money from scammers and the testimonies I saw were quite amazing. And I decided to contact them. I gathered every piece of evidence, chats, receipts, account details, and messages and reported the case to the agency, GREAT WHIP RECOVERY CYBER SERVICES. After 73hours of follow up and not losing faith, the fraudster was traced and held accountable and I recovered all my money back. I highly recommend, GREAT WHIP RECOVERY CYBER SERVICES agency if you have ever fallen victim to scammers, you can contact them. Website: https://greatwhiprecoveryc.wixsite.com/greatwhip-site email: [email protected] Call Line: +1(406)2729101

  • 22.02.26 19:00 Natasha Williams

    I am Natasha Williams from Dallas. I want to share my testimony to encourage anyone who has ever fallen victim to a scam or fraud. Some time ago, I was defrauded by some fraudulent cryptocurrency investment organization online, I was a victim and I lost a huge amount of money, $382,000. I felt angry, disappointed and helpless but I refused to give up and stay calm. I came across this agency, GREAT WHIP RECOVERY CYBER SERVICES.. who helped people recover their money from scammers and the testimonies I saw were quite amazing. And I decided to contact them. I gathered every piece of evidence, chats, receipts, account details, and messages and reported the case to the agency, GREAT WHIP RECOVERY CYBER SERVICES. After 73hours of follow up and not losing faith, the fraudster was traced and held accountable and I recovered all my money back. I highly recommend, GREAT WHIP RECOVERY CYBER SERVICES agency if you have ever fallen victim to scammers, you can contact them. Website: https://greatwhiprecoveryc.wixsite.com/greatwhip-site email: [email protected] Call Line: +1(406)2729101

  • 23.02.26 23:26 chongfook

    As cryptocurrencies continue to reshape global finance in 2026, the risks have never been higher. From sophisticated phishing campaigns to fake wallet apps and investment scams, millions of investors face the devastating reality of lost or stolen digital assets. When your crypto vanishes, panic sets in—and that's when fraudsters strike again, posing as "recovery experts" to exploit your vulnerability.   CONTACTS US   Techyforcecyberretrieval(@)consultant(.)com   https(://)techyforcecyberretrieval(.)com But there's a legitimate path forward. TECHY FORCE CYBER RETRIEVAL stands as the industry's most trusted crypto recovery company, combining advanced blockchain forensics, global partnerships, and a client-centric approach to help victims reclaim what was stolen. ---  Why Recovery Is Possible—With the Right Team Cryptocurrency's decentralized, pseudonymous nature makes asset recovery complex—but not impossible. The blockchain is transparent. Every transaction leaves a trail. The challenge isn't finding the funds—it's having the expertise to follow that trail through mixers, bridges, and exchange deposits before they disappear forever. That's where TECHY FORCE CYBER RETRIEVAL excels. ---  Our Proven Recovery Framework We don't believe in shortcuts, false promises, or upfront fees. Our process is built on transparency, forensic precision, and real results. Here's how we work: 1. Case Intake & Initial Assessment   You begin by submitting a detailed report: compromised wallet addresses, transaction IDs, timestamps, and any communication with scammers. Our intake team reviews your case within hours to determine immediate next steps. 2. Blockchain Forensic Analysis   Our specialists deploy proprietary tracking tools to map the movement of your stolen assets across multiple blockchains. We identify laundering patterns, exchange deposit addresses, and potential freezing points—building a clear investigative roadmap. 3. Global Partner Coordination   Through established relationships with regulated exchanges, DeFi protocols, and compliance teams worldwide, we initiate direct communication to flag suspicious transactions and request asset freezes where legally permissible. 4. Legal & Regulatory Engagement   When necessary, we collaborate with legal partners and law enforcement agencies to strengthen recovery efforts—especially in cases involving large-scale hacks or organized fraud rings. 5. Recovery Execution & Fund Return   Once assets are secured, they're transferred directly to a new, secure wallet of your choice. We never hold your funds. And critically, we operate on a success-only model. You pay nothing unless we recover your assets. 6. Post-Recovery Security Guidance   Recovery is only half the battle. We provide personalized recommendations to secure your remaining holdings—from hardware wallet setup to phishing awareness training—so you can move forward with confidence. ---  What Sets TECHY FORCE CYBER RETRIEVAL Apart While countless "recovery services" flood the internet, few deliver legitimate results. Here's why we're consistently rated the best crypto recovery company in 2026: - Zero Upfront Fees – We only succeed when you do. No hidden charges. No bait-and-switch tactics.   - Advanced Blockchain Intelligence – Our forensic tools track assets across Bitcoin, Ethereum, Solana, and 50+ other networks.   - Global Reach – Partnerships with exchanges and regulatory bodies in North America, Europe, and Asia maximize recovery odds.   - Client-First Communication – Weekly updates. Clear timelines. No ghosting.   - Proven Track Record – Hundreds of successful recoveries in 2025–2026, with millions returned to rightful owners. ---  Emerging Trends in 2026: What Victims Need to Know The threat landscape evolves constantly. This year's biggest risks include: - AI-Powered Phishing: Scammers now use deepfake voice and video to impersonate support staff.   - Cross-Chain Bridge Exploits: Funds moved between networks are increasingly targeted.   - Fake Recovery Services: Fraudsters pose as legitimate firms—always verify credentials before sharing information. TECHY FORCE CYBER RETRIEVAL stays ahead of these threats, continuously updating our tools and strategies to protect and serve our clients. CONTACTS US   Techyforcecyberretrieval(@)consultant(.)com   https(://)techyforcecyberretrieval(.)com ---  Your Next Step If you've lost crypto to a scam, hack, or forgotten credentials, don't let despair—or another fraudster—steal your second chance. TECHY FORCE CYBER RETRIEVAL is accessible, transparent, and ready to help. Reach out today. Let our experts assess your case—and show you that even in 2026, stolen crypto doesn't have to stay lost forever. — TECHY FORCE CYBER RETRIEVAL   Advanced Forensics. Global Reach. Your Recovery.

  • 24.02.26 15:31 [email protected]`

    Like many others, I was drawn in by the allure of cryptocurrency and the promise of financial freedom. When I encountered a self-proclaimed "crypto guru" online, his confidence and flashy lifestyle convinced me that he held the key to success. Eager to learn, I parted with $15,000 for his exclusive course, believing it would grant me access to an elite trading group and lucrative market insights. Initially, my excitement was palpable; I truly thought I was on the verge of a breakthrough. However, that enthusiasm quickly curdled into dread. Once inside the group, the dynamic shifted from education to aggressive exploitation. Instead of genuine mentorship, members were relentlessly upsold on fake trading signals that yielded nothing but losses. The pressure escalated when we were encouraged to invest in a supposed "private pool," which required an additional, staggering access fee of $60,000. It was only as I began to notice glaring inconsistencies and a complete lack of real results among the members that the fog lifted. I realized I hadn't joined a community of traders; I had walked into a sophisticated trap designed specifically to prey on newcomers like myself. The realization that the promises of wealth and insider knowledge were nothing more than a façade left me feeling vulnerable, deceived, and financially devastated. The dream of easy returns had turned into a heavy burden of regret. Desperate for a solution and refusing to let the fraudsters win, I began searching for help. That is when I discovered DIGITAL LIGHT SOLUTION, a firm specializing in online fraud investigations. Reaching out to them was the turning point. Their team approached my case with professionalism and empathy, immediately understanding the complexity of the scam. They guided me through the investigation process, uncovering the layers of deception used by the "guru" and his network. Thanks to their expertise and relentless pursuit of justice, I was able to navigate the aftermath of this ordeal with clarity rather than confusion. While the experience was a harsh lesson, connecting with DIGITAL LIGHT SOLUTION restored my hope and proved that there are still allies ready to fight against online exploitation. If you find yourself in a similar situation, do not lose hope—seek professional help immediately. Contact them directly Website https://digitallightsolution.com/ Email — Digitallightsolution(At)qualityservice(DOT)com What's App — https://wa.link/989vlf

  • 24.02.26 15:32 [email protected]`

    Like many others, I was drawn in by the allure of cryptocurrency and the promise of financial freedom. When I encountered a self-proclaimed "crypto guru" online, his confidence and flashy lifestyle convinced me that he held the key to success. Eager to learn, I parted with $15,000 for his exclusive course, believing it would grant me access to an elite trading group and lucrative market insights. Initially, my excitement was palpable; I truly thought I was on the verge of a breakthrough. However, that enthusiasm quickly curdled into dread. Once inside the group, the dynamic shifted from education to aggressive exploitation. Instead of genuine mentorship, members were relentlessly upsold on fake trading signals that yielded nothing but losses. The pressure escalated when we were encouraged to invest in a supposed "private pool," which required an additional, staggering access fee of $60,000. It was only as I began to notice glaring inconsistencies and a complete lack of real results among the members that the fog lifted. I realized I hadn't joined a community of traders; I had walked into a sophisticated trap designed specifically to prey on newcomers like myself. The realization that the promises of wealth and insider knowledge were nothing more than a façade left me feeling vulnerable, deceived, and financially devastated. The dream of easy returns had turned into a heavy burden of regret. Desperate for a solution and refusing to let the fraudsters win, I began searching for help. That is when I discovered DIGITAL LIGHT SOLUTION, a firm specializing in online fraud investigations. Reaching out to them was the turning point. Their team approached my case with professionalism and empathy, immediately understanding the complexity of the scam. They guided me through the investigation process, uncovering the layers of deception used by the "guru" and his network. Thanks to their expertise and relentless pursuit of justice, I was able to navigate the aftermath of this ordeal with clarity rather than confusion. While the experience was a harsh lesson, connecting with DIGITAL LIGHT SOLUTION restored my hope and proved that there are still allies ready to fight against online exploitation. If you find yourself in a similar situation, do not lose hope—seek professional help immediately. Contact them directly Website https://digitallightsolution.com/ Email — Digitallightsolution(At)qualityservice(DOT)com What's App — https://wa.link/989vlf

  • 26.02.26 16:29 michaeldavenport238

    I was recently scammed out of $53,000 by a fraudulent Bitcoin investment scheme, which added significant stress to my already difficult health issues, as I was also facing cancer surgery expenses. Desperate to recover my funds, I spent hours researching and consulting other victims, which led me to discover the excellent reputation of Capital Crypto Recover, I came across a Google post It was only after spending many hours researching and asking other victims for advice that I discovered Capital Crypto Recovery’s stellar reputation. I decided to contact them because of their successful recovery record and encouraging client testimonials. I had no idea that this would be the pivotal moment in my fight against cryptocurrency theft. Thanks to their expert team, I was able to recover my lost cryptocurrency back. The process was intricate, but Capital Crypto Recovery's commitment to utilizing the latest technology ensured a successful outcome. I highly recommend their services to anyone who has fallen victim to cryptocurrency fraud. For assistance contact [email protected] and on Telegram OR Call Number +1 (336)390-6684 via email: [email protected] you can visit his website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 26.02.26 16:29 michaeldavenport238

    I was recently scammed out of $53,000 by a fraudulent Bitcoin investment scheme, which added significant stress to my already difficult health issues, as I was also facing cancer surgery expenses. Desperate to recover my funds, I spent hours researching and consulting other victims, which led me to discover the excellent reputation of Capital Crypto Recover, I came across a Google post It was only after spending many hours researching and asking other victims for advice that I discovered Capital Crypto Recovery’s stellar reputation. I decided to contact them because of their successful recovery record and encouraging client testimonials. I had no idea that this would be the pivotal moment in my fight against cryptocurrency theft. Thanks to their expert team, I was able to recover my lost cryptocurrency back. The process was intricate, but Capital Crypto Recovery's commitment to utilizing the latest technology ensured a successful outcome. I highly recommend their services to anyone who has fallen victim to cryptocurrency fraud. For assistance contact [email protected] and on Telegram OR Call Number +1 (336)390-6684 via email: [email protected] you can visit his website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 27.02.26 00:08 sanayoliver

    I spend my days studying the mysteries of the universe, delving into black holes, quantum mechanics, and the nature of time itself. But apparently, the real black hole I should have been concerned about was my own memory. I encrypted my Bitcoin wallet to keep it as secure as possible. The problem? I promptly forgot the password. Classic, right? It didn't help that this wasn't just pocket change I was dealing with. No, I had $190,000 in Bitcoin sitting in that wallet, and my mind had decided to take a vacation, leaving me with absolutely no idea what that password was. The panic set in fast. My brain, which could solve some of the most complex physics equations, couldn't remember a 12-character password. It felt like my entire financial future was being sucked into a black hole, one I'd created myself. Desperate, I tried everything. I thought I could outsmart the system, using every trick I could think of. I tried variations of passwords I thought I might have used, analyzing them through the lens of my own behavioral patterns. I even resorted to good ol' brute force, typing random combinations for hours, hoping that maybe, just maybe, my subconscious would strike gold. Spoiler alert: it didn't. Each failed attempt made me feel more and more like a genius who'd locked themselves out of their own universe. In a final act of desperation, admitting that theoretical physics couldn't crack my own encryption, I contacted TechY Force Cyber Retrieval. From the moment I reached out, the difference was night and day. While I had been flailing in the dark, they approached my case with a precision that rivaled the calculations I do daily. They didn't promise miracles; they promised a methodical, advanced recovery process. Within a surprisingly short timeframe, they utilized specialized tools to bypass the mental block I couldn't overcome. When they finally recovered the wallet and confirmed the full $190,000 was intact and accessible, the relief was indescribable. It was as if I had pulled my financial future back from the event horizon just before it was lost forever. To anyone thinking they are too smart to lose their keys, or too logical to make such a mistake: don't wait until you are staring into the abyss. If you find yourself in a situation where your own memory has become your greatest enemy, trust the experts at TechY Force Cyber Retrieval. They turned my personal black hole into a success story, proving that sometimes, even the brightest minds need a little help to find the light. REACH OUT TO THEM ON MAIL [email protected]

  • 27.02.26 02:04 elizabethmadison

    My name is Elizabeth Madison currently living in New York. There was a time I felt completely broken. I had trusted a fraudulent bitcoin investment organization, who turned out to be a fraudster. I sent money, believing their sweet words and promises on the interest rate I will get back in return, only to realize later that I’ve been scammed. On the day of withdrawal there was no money in my account. The pain hit deep. I couldn’t sleep, I kept asking myself how I could have been so careless, meanwhile my mom was battling with a stroke and the expenses were too much. For days, I cried and blamed myself. The betrayal, the disappointment and my mom's health issues all of this stress made me want to give up on life. But one day, I decided that sitting in pain wouldn’t solve anything. I picked myself up and chose to fight for what I lost then I came across GREAT WHIP RECOVERY CYBER SERVICES and saw how he helped people recover their funds from online fraud. I emailed all the transactions and paperwork I had with the fraudulent organization and they helped me recover all my lost money in just five days. If you have ever fallen victim to scammers, contact GREAT WHIP RECOVERY CYBER SERVICES to help you recover every penny you have lost. (Text +1(406)2729101) (Website https://greatwhiprecoveryc.wixsite.com/greatwhip-site) (Email [email protected])

  • 27.02.26 02:04 elizabethmadison

    My name is Elizabeth Madison currently living in New York. There was a time I felt completely broken. I had trusted a fraudulent bitcoin investment organization, who turned out to be a fraudster. I sent money, believing their sweet words and promises on the interest rate I will get back in return, only to realize later that I’ve been scammed. On the day of withdrawal there was no money in my account. The pain hit deep. I couldn’t sleep, I kept asking myself how I could have been so careless, meanwhile my mom was battling with a stroke and the expenses were too much. For days, I cried and blamed myself. The betrayal, the disappointment and my mom's health issues all of this stress made me want to give up on life. But one day, I decided that sitting in pain wouldn’t solve anything. I picked myself up and chose to fight for what I lost then I came across GREAT WHIP RECOVERY CYBER SERVICES and saw how he helped people recover their funds from online fraud. I emailed all the transactions and paperwork I had with the fraudulent organization and they helped me recover all my lost money in just five days. If you have ever fallen victim to scammers, contact GREAT WHIP RECOVERY CYBER SERVICES to help you recover every penny you have lost. (Text +1(406)2729101) (Website https://greatwhiprecoveryc.wixsite.com/greatwhip-site) (Email [email protected])

  • 27.02.26 15:57 luciajessy3

    Don’t be deceived by different testimonies online that is most likely wrong. I have made use of several recovery options that got me disappointed at the end of the day but I must confess that the tech genius I eventually found is the best out here. It’s better you devise your time to find the valid professional that can help you recover your stolen or lost crypto such as bitcoins rather than falling victim of other amateur hackers that cannot get the job done. ADAMWILSON . TRADING @ CONSULTANT COM / is the most reliable and authentic blockchain tech expert you can work with to recover what you lost to scammers. They helped me get back on my feet and I’m very grateful for that. Contact their email today to recover your lost coins ASAP…

  • 27.02.26 15:59 wendytaylor015

    My name is Wendy Taylor, I'm from Los Angeles, i want to announce to you Viewer how Capital Crypto Recover help me to restore my Lost Bitcoin, I invested with a Crypto broker without proper research to know what I was hoarding my hard-earned money into scammers, i lost access to my crypto wallet or had your funds stolen? Don’t worry Capital Crypto Recover is here to help you recover your cryptocurrency with cutting-edge technical expertise, With years of experience in the crypto world, Capital Crypto Recover employs the best latest tools and ethical hacking techniques to help you recover lost assets, unlock hacked accounts, Whether it’s a forgotten password, Capital Crypto Recover has the expertise to help you get your crypto back. a security company service that has a 100% success rate in the recovery of crypto assets, i lost wallet and hacked accounts. I provided them the information they requested and they began their investigation. To my surprise, Capital Crypto Recover was able to trace and recover my crypto assets successfully within 24hours. Thank you for your service in helping me recover my $647,734 worth of crypto funds and I highly recommend their recovery services, they are reliable and a trusted company to any individuals looking to recover lost money. Contact email [email protected] OR Telegram @Capitalcryptorecover Call/Text Number +1 (336)390-6684 his contact: [email protected] His website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 27.02.26 15:59 wendytaylor015

    My name is Wendy Taylor, I'm from Los Angeles, i want to announce to you Viewer how Capital Crypto Recover help me to restore my Lost Bitcoin, I invested with a Crypto broker without proper research to know what I was hoarding my hard-earned money into scammers, i lost access to my crypto wallet or had your funds stolen? Don’t worry Capital Crypto Recover is here to help you recover your cryptocurrency with cutting-edge technical expertise, With years of experience in the crypto world, Capital Crypto Recover employs the best latest tools and ethical hacking techniques to help you recover lost assets, unlock hacked accounts, Whether it’s a forgotten password, Capital Crypto Recover has the expertise to help you get your crypto back. a security company service that has a 100% success rate in the recovery of crypto assets, i lost wallet and hacked accounts. I provided them the information they requested and they began their investigation. To my surprise, Capital Crypto Recover was able to trace and recover my crypto assets successfully within 24hours. Thank you for your service in helping me recover my $647,734 worth of crypto funds and I highly recommend their recovery services, they are reliable and a trusted company to any individuals looking to recover lost money. Contact email [email protected] OR Telegram @Capitalcryptorecover Call/Text Number +1 (336)390-6684 his contact: [email protected] His website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 27.02.26 16:00 wendytaylor015

    My name is Wendy Taylor, I'm from Los Angeles, i want to announce to you Viewer how Capital Crypto Recover help me to restore my Lost Bitcoin, I invested with a Crypto broker without proper research to know what I was hoarding my hard-earned money into scammers, i lost access to my crypto wallet or had your funds stolen? Don’t worry Capital Crypto Recover is here to help you recover your cryptocurrency with cutting-edge technical expertise, With years of experience in the crypto world, Capital Crypto Recover employs the best latest tools and ethical hacking techniques to help you recover lost assets, unlock hacked accounts, Whether it’s a forgotten password, Capital Crypto Recover has the expertise to help you get your crypto back. a security company service that has a 100% success rate in the recovery of crypto assets, i lost wallet and hacked accounts. I provided them the information they requested and they began their investigation. To my surprise, Capital Crypto Recover was able to trace and recover my crypto assets successfully within 24hours. Thank you for your service in helping me recover my $647,734 worth of crypto funds and I highly recommend their recovery services, they are reliable and a trusted company to any individuals looking to recover lost money. Contact email [email protected] OR Telegram @Capitalcryptorecover Call/Text Number +1 (336)390-6684 his contact: [email protected] His website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 27.02.26 16:01 luciajessy3

    Don’t be deceived by different testimonies online that is most likely wrong. I have made use of several recovery options that got me disappointed at the end of the day but I must confess that the tech genius I eventually found is the best out here. It’s better you devise your time to find the valid professional that can help you recover your stolen or lost crypto such as bitcoins rather than falling victim of other amateur hackers that cannot get the job done. ADAMWILSON . TRADING @ CONSULTANT COM / is the most reliable and authentic blockchain tech expert you can work with to recover what you lost to scammers. They helped me get back on my feet and I’m very grateful for that. Contact their email today to recover your lost coins ASAP…

  • 27.02.26 16:01 luciajessy3

    Don’t be deceived by different testimonies online that is most likely wrong. I have made use of several recovery options that got me disappointed at the end of the day but I must confess that the tech genius I eventually found is the best out here. It’s better you devise your time to find the valid professional that can help you recover your stolen or lost crypto such as bitcoins rather than falling victim of other amateur hackers that cannot get the job done. ADAMWILSON . TRADING @ CONSULTANT COM / is the most reliable and authentic blockchain tech expert you can work with to recover what you lost to scammers. They helped me get back on my feet and I’m very grateful for that. Contact their email today to recover your lost coins ASAP…

  • 27.02.26 16:01 luciajessy3

    Don’t be deceived by different testimonies online that is most likely wrong. I have made use of several recovery options that got me disappointed at the end of the day but I must confess that the tech genius I eventually found is the best out here. It’s better you devise your time to find the valid professional that can help you recover your stolen or lost crypto such as bitcoins rather than falling victim of other amateur hackers that cannot get the job done. ADAMWILSON . TRADING @ CONSULTANT COM / is the most reliable and authentic blockchain tech expert you can work with to recover what you lost to scammers. They helped me get back on my feet and I’m very grateful for that. Contact their email today to recover your lost coins ASAP…

  • 01.03.26 10:48 marcushenderson624

    Bitcoin Recovery Testimonial After falling victim to a cryptocurrency scam group, I lost $354,000 worth of USDT. I thought all hope was lost from the experience of losing my hard-earned money to scammers. I was devastated and believed there was no way to recover my funds. Fortunately, I started searching for help to recover my stolen funds and I came across a lot of testimonials online about Capital Crypto Recovery, an agent who helps in recovery of lost bitcoin funds, I contacted Capital Crypto Recover Service, and with their expertise, they successfully traced and recovered my stolen assets. Their team was professional, kept me updated throughout the process, and demonstrated a deep understanding of blockchain transactions and recovery protocols. They are trusted and very reliable with a 100% successful rate record Recovery bitcoin, I’m grateful for their help and highly recommend their services to anyone seeking assistance with lost crypto. Contact: [email protected] Phone CALL/Text Number: +1 (336) 390-6684 Email: [email protected] Website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 01.03.26 10:48 marcushenderson624

    Bitcoin Recovery Testimonial After falling victim to a cryptocurrency scam group, I lost $354,000 worth of USDT. I thought all hope was lost from the experience of losing my hard-earned money to scammers. I was devastated and believed there was no way to recover my funds. Fortunately, I started searching for help to recover my stolen funds and I came across a lot of testimonials online about Capital Crypto Recovery, an agent who helps in recovery of lost bitcoin funds, I contacted Capital Crypto Recover Service, and with their expertise, they successfully traced and recovered my stolen assets. Their team was professional, kept me updated throughout the process, and demonstrated a deep understanding of blockchain transactions and recovery protocols. They are trusted and very reliable with a 100% successful rate record Recovery bitcoin, I’m grateful for their help and highly recommend their services to anyone seeking assistance with lost crypto. Contact: [email protected] Phone CALL/Text Number: +1 (336) 390-6684 Email: [email protected] Website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 03.03.26 14:09 Thomas Muller

    YOU CAN REACH OUT TO GREAT WHIP RECOVERY CYBER SERVICES FOR HELP TO RECOVER YOUR STOLEN BTC OR ETH BACK CALL:+1(406)2729101 I once fell victim to online investment scheme that cost me a devastating €254,000. I’m Thomas Muller from Berlin, Germany. The person I trusted turned out to be a fraud, and the moment I realized I’d been deceived, my entire world stopped. I immediately began searching for legitimate ways to recover my funds and hold the scammer accountable. During my search, I came across several testimonies of how Great Whip Recovery Cyber Services helped some people recover money they lost to cyber fraud, I contacted Great Whip Recovery Cyber Service team and provided all the evidence I had. Within about 36 hours, the experts traced the digital trail left by the fraudster, the individual was eventually tracked down and I recovered all my money back. You can contact them with,  website https://greatwhiprecoveryc.wixsite.com/greatwhip-site  text +1(406)2729101 email [email protected]

  • 03.03.26 14:09 Thomas Muller

    YOU CAN REACH OUT TO GREAT WHIP RECOVERY CYBER SERVICES FOR HELP TO RECOVER YOUR STOLEN BTC OR ETH BACK CALL:+1(406)2729101 I once fell victim to online investment scheme that cost me a devastating €254,000. I’m Thomas Muller from Berlin, Germany. The person I trusted turned out to be a fraud, and the moment I realized I’d been deceived, my entire world stopped. I immediately began searching for legitimate ways to recover my funds and hold the scammer accountable. During my search, I came across several testimonies of how Great Whip Recovery Cyber Services helped some people recover money they lost to cyber fraud, I contacted Great Whip Recovery Cyber Service team and provided all the evidence I had. Within about 36 hours, the experts traced the digital trail left by the fraudster, the individual was eventually tracked down and I recovered all my money back. You can contact them with,  website https://greatwhiprecoveryc.wixsite.com/greatwhip-site  text +1(406)2729101 email [email protected]

  • 04.03.26 07:21 Jane4

    I lost about $600k Bitcoin last year, I searched around and tried to work with some recovery firm unfortunately I was scammed as well. This happened for months until I came across [email protected] They came to my rescue and all my funds were recovered within few days I'm so happy right now .

  • 04.03.26 07:22 Jane4

    I lost about $600k Bitcoin last year, I searched around and tried to work with some recovery firm unfortunately I was scammed as well. This happened for months until I came across [email protected] They came to my rescue and all my funds were recovered within few days I'm so happy right now .

  • 04.03.26 12:25 patricialovick86

    How To Recover Your Bitcoin Without Falling Victim To Scams: A  Testimony Experience With Capital Crypto Recover Services, Contact Telegram: @Capitalcryptorecover Dear Everyone, I would like to take a moment to share my positive experience with Capital Crypto Recover Services. Initially, I was unsure if it would be possible to recover my stolen bitcoins. However, with their expertise and professionalism, I was able to fully recover my funds. Unfortunately, many individuals fall victim to scams in the cryptocurrency space, especially those involving fraudulent investment platforms. However, I advise caution, as not all recovery services are legitimate. I personally lost $273,000 worth of Bitcoin from my Binance account due to a deceptive platform. If you have suffered a similar loss, you may be considering crypto recovery, The Capital Crypto Recover is the most knowledgeable and effective Capital Crypto Recovery Services assisted me in recovering my stolen funds within 24 hours, after getting access to my wallet. Their service was not only prompt but also highly professional and effective, and many recovery services may not be trustworthy. Therefore, I highly recommend Capital Crypto Recover to you. i do always research and see reviews about their service, For assistance finding your misplaced cryptocurrency, get in touch with them, They do their jobs quickly and excellently, Stay safe and vigilant in the crypto world. Contact: [email protected]  You can reach them via email at [email protected] OR Call/Text Number +1 (336)390-6684 his contact website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 04.03.26 12:25 patricialovick86

    How To Recover Your Bitcoin Without Falling Victim To Scams: A  Testimony Experience With Capital Crypto Recover Services, Contact Telegram: @Capitalcryptorecover Dear Everyone, I would like to take a moment to share my positive experience with Capital Crypto Recover Services. Initially, I was unsure if it would be possible to recover my stolen bitcoins. However, with their expertise and professionalism, I was able to fully recover my funds. Unfortunately, many individuals fall victim to scams in the cryptocurrency space, especially those involving fraudulent investment platforms. However, I advise caution, as not all recovery services are legitimate. I personally lost $273,000 worth of Bitcoin from my Binance account due to a deceptive platform. If you have suffered a similar loss, you may be considering crypto recovery, The Capital Crypto Recover is the most knowledgeable and effective Capital Crypto Recovery Services assisted me in recovering my stolen funds within 24 hours, after getting access to my wallet. Their service was not only prompt but also highly professional and effective, and many recovery services may not be trustworthy. Therefore, I highly recommend Capital Crypto Recover to you. i do always research and see reviews about their service, For assistance finding your misplaced cryptocurrency, get in touch with them, They do their jobs quickly and excellently, Stay safe and vigilant in the crypto world. Contact: [email protected]  You can reach them via email at [email protected] OR Call/Text Number +1 (336)390-6684 his contact website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 06.03.26 13:36 CARL9090

    In January, my life shifted in a way I never expected. I clicked a trading link given to me by someone I found on Telegram, believing it was legitimate. It looked professional. It felt secure. I trusted it. Until I tried to withdraw my money. Within seconds, everything was gone, transferred into a wallet claiming account without a trace. That was the moment the truth hit me: I had been scammed. The emotional fallout was brutal. For weeks, I couldn’t even speak about it. I thought people would judge me. I thought they’d say I should have known better. Then someone stepped in who changed everything Agent Jasmine Lopez ,She listened without judgment. She treated my fear as real and valid. She traced patterns, uncovered off-chain indicators, and identified wallet clusters linked to a larger scam network. She showed me that what happened wasn’t random it was organized and intentional. For the first time, I felt hope. Hearing that students, parents, and hardworking people had been targeted the same way made me realize this wasn’t stupidity. It was predation. We weren’t careless we were deliberately targeted and manipulated I’m still healing. The experience changed me. But it also reminded me that even in your darkest moment, there can be someone willing to shine a light. Contact her at [email protected] WHATSAPP +44 7478077894

  • 07.03.26 07:46 Jane4

    I lost about $600k Bitcoin last year, I searched around and tried to work with some recovery firm unfortunately I was scammed as well. This happened for months until I came across [email protected] They came to my rescue and all my funds were recovered within few days I'm so happy right now .

  • 07.03.26 07:46 Jane4

    I lost about $600k Bitcoin last year, I searched around and tried to work with some recovery firm unfortunately I was scammed as well. This happened for months until I came across [email protected] They came to my rescue and all my funds were recovered within few days I'm so happy right now .

  • 07.03.26 08:39 Jane4

    I lost about $600k Bitcoin last year, I searched around and tried to work with some recovery firm unfortunately I was scammed as well. This happened for months until I came across [email protected] They came to my rescue and all my funds were recovered within few days I'm so happy right now .

  • 07.03.26 08:55 Jane4

    I lost about $600k Bitcoin last year, I searched around and tried to work with some recovery firm unfortunately I was scammed as well. This happened for months until I came across [email protected] They came to my rescue and all my funds were recovered within few days I'm so happy right now .

  • 07.03.26 09:40 Alena76

    Most people have been scammed severally and they give up on their funds I'm saying these because I was a victim too After loosing 745,000 USD I lose my mind until I read about COIN HACK RECOVERY I decided to contact the company on: [email protected] and I'm glad I made the decision not to give up. they helped me to recover all my lost funds within two days.

  • 07.03.26 10:37 Alena76

    Most people have been scammed severally and they give up on their funds I'm saying these because I was a victim too After loosing 745,000 USD I lose my mind until I read about COIN HACK RECOVERY I decided to contact the company on: [email protected] and I'm glad I made the decision not to give up. they helped me to recover all my lost funds within two days.

  • 07.03.26 10:37 Alena76

    Most people have been scammed severally and they give up on their funds I'm saying these because I was a victim too After loosing 745,000 USD I lose my mind until I read about COIN HACK RECOVERY I decided to contact the company on: [email protected] and I'm glad I made the decision not to give up. they helped me to recover all my lost funds within two days.

  • 07.03.26 17:49 Natasha Williams

    I am Natasha Williams from Dallas. I want to share my testimony to encourage anyone who has ever fallen victim to a scam or fraud. Some time ago, I was defrauded by some fraudulent cryptocurrency investment organization online, I was a victim and I lost a huge amount of money, $382,000. I felt angry, disappointed and helpless but I refused to give up and stay calm. I came across this agency, GREAT WHIP RECOVERY CYBER SERVICES.. who helped people recover their money from scammers and the testimonies I saw were quite amazing. And I decided to contact them. I gathered every piece of evidence, chats, receipts, account details, and messages and reported the case to the agency, GREAT WHIP RECOVERY CYBER SERVICES. After 73hours of follow up and not losing faith, the fraudster was traced and held accountable and I recovered all my money back. I highly recommend, GREAT WHIP RECOVERY CYBER SERVICES agency if you have ever fallen victim to scammers, you can contact them. Website: https://greatwhiprecoveryc.wixsite.com/greatwhip-site email: [email protected] Call Line: +1(406)2729101

  • 07.03.26 20:10 ericbank61

    I never thought I’d be the one writing one of these stories. You hear about crypto scams, hacks, and lost fortunes, and you think, “That’s for other people. The careless ones.” I was careful. Or so I believed. It started with a sophisticated phishing attack. An email that looked identical to a legitimate exchange notification, a link to “verify my wallet security,” and a moment of distracted panic. I clicked. Within hours, my life savings in Bitcoin—a sum I’d been accumulating for five years—vanished from my private wallet. The transaction hash was a cold, unfeeling tombstone on the blockchain. My stomach dropped into a void. I felt physically ill. The police filed a report, but their knowledge ended at the edge of traditional finance. The exchange offered sympathy but no solutions. I was adrift, utterly hopeless. After weeks of despair, scouring forums in the dead of night, I found a thread mentioning Mighty Hacker Recovery. The name sounded almost too bold, like something from a cheesy movie. But the testimonials were detailed, sober, and from people who sounded just like me: desperate, betrayed, and out of options. With nothing left to lose, I reached out. Their intake process was professional but guarded. They asked for transaction IDs, wallet addresses, and a detailed timeline—no promises, just facts. A consultant named Leo became my point of contact. He had a calm, analytical voice that cut through my panic. “We don’t hack *into* systems,” he explained. “We follow the digital trail. We analyze the attack vector, trace the flow of funds through the blockchain’s transparency, and identify the weak points in the scammer’s own security. Sometimes, it’s about speed and outmaneuvering them before they can launder the assets.” What followed was a tense, silent partnership. I provided every shred of information I had, while Leo’s team worked in the shadows. There were days of silence that felt like years. Then, an update: they’d traced my BTC to a mixing service, a tool scammers use to obfuscate the trail. Mighty Hacker Recovery used advanced blockchain forensic techniques to peel back those layers. They discovered the scammer had made a critical error—a small portion of the funds was sent to a KYC-compliant exchange wallet. That was the chink in the armor. Using the immutable evidence from the blockchain and legal pressure channels they’d established with certain international platforms, they initiated a recovery claim. The process was complex, involving digital affidavits and proof of illicit origin. Three weeks after my first desperate email, Leo called. “We’ve secured a freeze on the destination wallet. The exchange is cooperating. We’re initiating the reversal.” I didn’t dare believe it until I saw it. Two days later, my wallet balance updated. My Bitcoin, minus Mighty Hacker Recovery’s contingency fee, was back. The relief wasn’t euphoric; it was a deep, trembling exhaustion, like waking up from a nightmare. They didn’t perform magic. They applied intense expertise, relentless persistence, and an intricate understanding of both the blockchain’s weaknesses and a scammer’s psychology. They gave me back more than my crypto; they gave me back a sense of agency in a landscape designed to make victims feel powerless. If you’re reading this from your own private hell of loss, know this: the trail never truly disappears. You just need the right team to follow it. For me, that was Mighty Hacker Recovery.

  • 07.03.26 22:44 robertalfred175

    CRYPTO SCAM RECOVERY SUCCESSFUL – A TESTIMONIAL OF LOST PASSWORD TO YOUR DIGITAL WALLET BACK. My name is Robert Alfred, Am from Australia. I’m sharing my experience in the hope that it helps others who have been victims of crypto scams. A few months ago, I fell victim to a fraudulent crypto investment scheme linked to a broker company. I had invested heavily during a time when Bitcoin prices were rising, thinking it was a good opportunity. Unfortunately, I was scammed out of $120,000 AUD and the broker denied me access to my digital wallet and assets. It was a devastating experience that caused many sleepless nights. Crypto scams are increasingly common and often involve fake trading platforms, phishing attacks, and misleading investment opportunities. In my desperation, a friend from the crypto community recommended Capital Crypto Recovery Service, known for helping victims recover lost or stolen funds. After doing some research and reading multiple positive reviews, I reached out to Capital Crypto Recovery. I provided all the necessary information—wallet addresses, transaction history, and communication logs. Their expert team responded immediately and began investigating. Using advanced blockchain tracking techniques, they were able to trace the stolen Dogecoin, identify the scammer’s wallet, and coordinate with relevant authorities to freeze the funds before they could be moved. Incredibly, within 24 hours, Capital Crypto Recovery successfully recovered the majority of my stolen crypto assets. I was beyond relieved and truly grateful. Their professionalism, transparency, and constant communication throughout the process gave me hope during a very difficult time. If you’ve been a victim of a crypto scam, I highly recommend them with full confidence contacting: Email: [email protected] Telegram: @Capitalcryptorecover Contact: [email protected] Call/Text: +1 (336) 390-6684 Website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 07.03.26 22:44 robertalfred175

    CRYPTO SCAM RECOVERY SUCCESSFUL – A TESTIMONIAL OF LOST PASSWORD TO YOUR DIGITAL WALLET BACK. My name is Robert Alfred, Am from Australia. I’m sharing my experience in the hope that it helps others who have been victims of crypto scams. A few months ago, I fell victim to a fraudulent crypto investment scheme linked to a broker company. I had invested heavily during a time when Bitcoin prices were rising, thinking it was a good opportunity. Unfortunately, I was scammed out of $120,000 AUD and the broker denied me access to my digital wallet and assets. It was a devastating experience that caused many sleepless nights. Crypto scams are increasingly common and often involve fake trading platforms, phishing attacks, and misleading investment opportunities. In my desperation, a friend from the crypto community recommended Capital Crypto Recovery Service, known for helping victims recover lost or stolen funds. After doing some research and reading multiple positive reviews, I reached out to Capital Crypto Recovery. I provided all the necessary information—wallet addresses, transaction history, and communication logs. Their expert team responded immediately and began investigating. Using advanced blockchain tracking techniques, they were able to trace the stolen Dogecoin, identify the scammer’s wallet, and coordinate with relevant authorities to freeze the funds before they could be moved. Incredibly, within 24 hours, Capital Crypto Recovery successfully recovered the majority of my stolen crypto assets. I was beyond relieved and truly grateful. Their professionalism, transparency, and constant communication throughout the process gave me hope during a very difficult time. If you’ve been a victim of a crypto scam, I highly recommend them with full confidence contacting: Email: [email protected] Telegram: @Capitalcryptorecover Contact: [email protected] Call/Text: +1 (336) 390-6684 Website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 11.03.26 19:43 Michael Jensen

    With the help and expertise of CapitalNode Analytics, i was able to get back my digital tokens from a fake investment platform. They are swift, precise and transparent in their operations.

  • 12.03.26 15:04 Mike Franz

    I recently ran into a serious issue with my cryptocurrency account that left me unable to access my bitcoin wallet. After several failed login attempts and repeated blocks from the system, I began to worry that I might lose access to my $415,000 permanently. Determined to fix the problem, After spending hours reading a review of GREAT WHIP RECOVERY CYBER SERVICES, on how they successfully assisted countless individuals in similar situations as mine. The process was stressful, but eventually the issue was resolved and I was able to regain access to my bitcoin wallet account. I’m immensely grateful to GREAT WHIP RECOVERY CYBER SERVICES for their incredible work, for those who need help, you can contact through the following channels: Phone Call: +1(406)2729101 Website: https://greatwhiprecoveryc.wixsite.com/greatwhip-site Mail: [email protected]

  • 12.03.26 15:05 Mike Franz

    I recently ran into a serious issue with my cryptocurrency account that left me unable to access my bitcoin wallet. After several failed login attempts and repeated blocks from the system, I began to worry that I might lose access to my $415,000 permanently. Determined to fix the problem, After spending hours reading a review of GREAT WHIP RECOVERY CYBER SERVICES, on how they successfully assisted countless individuals in similar situations as mine. The process was stressful, but eventually the issue was resolved and I was able to regain access to my bitcoin wallet account. I’m immensely grateful to GREAT WHIP RECOVERY CYBER SERVICES for their incredible work, for those who need help, you can contact through the following channels: Phone Call: +1(406)2729101 Website: https://greatwhiprecoveryc.wixsite.com/greatwhip-site Mail: [email protected]

  • 15.03.26 20:22 harristhomas7376

    "In the crypto world, this is great news I want to share. Last year, I fell victim to a scam disguised as a safe investment option. I have invested in crypto trading platforms for about 10yrs thinking I was ensuring myself a retirement income, only to find that all my assets were either frozen, I believed my assets were secure — until I discovered that my BTC funds had been frozen and withdrawals were impossible. It was a devastating moment when I realized I had been scammed, and I thought my Bitcoin was gone forever, Everything changed when a close friend recommended the Capital Crypto Recover Service. Their professionalism, expertise, and dedication enabled me to recover my lost Bitcoin funds back — more than €560.000 DEM to my BTC wallet. What once felt impossible became a reality thanks to their support. If you have lost Bitcoin through scams, hacking, failed withdrawals, or similar challenges, don’t lose hope. I strongly recommend Capital Crypto Recover Service to anyone seeking a reliable and effective solution for recovering any wallet assets. They have a proven track record of successful reputation in recovering lost password assets for their clients and can help you navigate the process of recovering your funds. Don’t let scammers get away with your hard-earned money – contact Email: [email protected] Phone CALL/Text Number: +1 (336) 390-6684 Contact: [email protected] Website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 15.03.26 20:22 harristhomas7376

    "In the crypto world, this is great news I want to share. Last year, I fell victim to a scam disguised as a safe investment option. I have invested in crypto trading platforms for about 10yrs thinking I was ensuring myself a retirement income, only to find that all my assets were either frozen, I believed my assets were secure — until I discovered that my BTC funds had been frozen and withdrawals were impossible. It was a devastating moment when I realized I had been scammed, and I thought my Bitcoin was gone forever, Everything changed when a close friend recommended the Capital Crypto Recover Service. Their professionalism, expertise, and dedication enabled me to recover my lost Bitcoin funds back — more than €560.000 DEM to my BTC wallet. What once felt impossible became a reality thanks to their support. If you have lost Bitcoin through scams, hacking, failed withdrawals, or similar challenges, don’t lose hope. I strongly recommend Capital Crypto Recover Service to anyone seeking a reliable and effective solution for recovering any wallet assets. They have a proven track record of successful reputation in recovering lost password assets for their clients and can help you navigate the process of recovering your funds. Don’t let scammers get away with your hard-earned money – contact Email: [email protected] Phone CALL/Text Number: +1 (336) 390-6684 Contact: [email protected] Website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 15.03.26 20:22 harristhomas7376

    "In the crypto world, this is great news I want to share. Last year, I fell victim to a scam disguised as a safe investment option. I have invested in crypto trading platforms for about 10yrs thinking I was ensuring myself a retirement income, only to find that all my assets were either frozen, I believed my assets were secure — until I discovered that my BTC funds had been frozen and withdrawals were impossible. It was a devastating moment when I realized I had been scammed, and I thought my Bitcoin was gone forever, Everything changed when a close friend recommended the Capital Crypto Recover Service. Their professionalism, expertise, and dedication enabled me to recover my lost Bitcoin funds back — more than €560.000 DEM to my BTC wallet. What once felt impossible became a reality thanks to their support. If you have lost Bitcoin through scams, hacking, failed withdrawals, or similar challenges, don’t lose hope. I strongly recommend Capital Crypto Recover Service to anyone seeking a reliable and effective solution for recovering any wallet assets. They have a proven track record of successful reputation in recovering lost password assets for their clients and can help you navigate the process of recovering your funds. Don’t let scammers get away with your hard-earned money – contact Email: [email protected] Phone CALL/Text Number: +1 (336) 390-6684 Contact: [email protected] Website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 16.03.26 12:01 [email protected]

    I would like to highly recommend TOP RECOVERY EXPERT, the best in cryptocurrency recovery. I want the world to know how exceptional their services are. For years, I faced a very difficult time after being scammed out of $453,000 in Ethereum. It was devastating to realize that someone could steal from me without remorse after I trusted them. Determined to recover my funds legally, I began searching for reliable help and came across TOP RECOVERY EXPERT, the most professional recovery service I have ever found. With their expertise and support, I was able to recover my entire Ethereum wallet. I now understand that while many investment opportunities can seem too good to be true, professional guidance can make all the difference. Thanks to TOP RECOVERY EXPERT, I have regained not only my assets ETH but also my peace of mind and happiness. Their dedication and professionalism have truly changed my life. I am now the happiest person I have ever been, all because of their help. If you have been a victim of a crypto scam, I strongly advise you to reach out to TOP RECOVERY EXPERT. Contact Information: Text/Call: +1 (346) 980-9102 Email: [email protected] For more information visit his website: https://toprecoveryexpert2.wixsite.com/consultant

  • 16.03.26 13:20 luciajessy3

    There are many recommendations online, but not all of them are trustworthy. Unfortunately, some so-called “recovery services” are scams themselves and may try to take advantage of people who have already lost money. If you’ve been scammed, be extremely cautious about anyone promising guaranteed recovery — especially if they ask for upfront fees. Always do thorough research, verify credentials, and consider reporting the incident to. Cyberrefundexperts {A} Consultant {.} Com , Stay alert and protect yourself.

  • 16.03.26 13:20 luciajessy3

    There are many recommendations online, but not all of them are trustworthy. Unfortunately, some so-called “recovery services” are scams themselves and may try to take advantage of people who have already lost money. If you’ve been scammed, be extremely cautious about anyone promising guaranteed recovery — especially if they ask for upfront fees. Always do thorough research, verify credentials, and consider reporting the incident to. Cyberrefundexperts @ Consultant . Com , Stay alert and protect yourself.

  • 18.03.26 15:27 keithwilson9899

    ETHEREUM RECOVERY ASSISTANCE: CAPITAL CRYPTO RECOVER HELPED ME RECOVER $98,000 WORTH OF LOST ETH In cases of cryptocurrency scams, having accurate information and trusted support is essential. I would like to recommend Capital Crypto Recover Service, a professional team that specializes in assisting individuals with the recovery of lost or stolen Bitcoin and Ethereum (ETH). Their experienced experts are dedicated to helping victims of digital asset fraud by carefully analyzing each case, developing strategic recovery plans, Capital Crypto Recover Service knowledgeable team's primary goals are to satisfy clients and offer significant support and working diligently toward fund retrieval. The team is committed to providing reliable assistance and maintaining a high level of client satisfaction. Based on my assessment, their reputation professionalism and a strong commitment to their clients. If you have experienced a cryptocurrency loss, you can contacting them for further assistance Phone (Call/Text): +1 (336) 390-6684 Email: [email protected] Alternate Email: [email protected] Website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 18.03.26 15:27 keithwilson9899

    ETHEREUM RECOVERY ASSISTANCE: CAPITAL CRYPTO RECOVER HELPED ME RECOVER $98,000 WORTH OF LOST ETH In cases of cryptocurrency scams, having accurate information and trusted support is essential. I would like to recommend Capital Crypto Recover Service, a professional team that specializes in assisting individuals with the recovery of lost or stolen Bitcoin and Ethereum (ETH). Their experienced experts are dedicated to helping victims of digital asset fraud by carefully analyzing each case, developing strategic recovery plans, Capital Crypto Recover Service knowledgeable team's primary goals are to satisfy clients and offer significant support and working diligently toward fund retrieval. The team is committed to providing reliable assistance and maintaining a high level of client satisfaction. Based on my assessment, their reputation professionalism and a strong commitment to their clients. If you have experienced a cryptocurrency loss, you can contacting them for further assistance Phone (Call/Text): +1 (336) 390-6684 Email: [email protected] Alternate Email: [email protected] Website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 08:03 Alena76

    Most people have been scammed severally and they give up on their funds I'm saying these because I was a victim too After loosing 745,000 USD I lose my mind until I read about COIN HACK RECOVERY I decided to contact the company on: [email protected] and I'm glad I made the decision not to give up. they helped me to recover all my lost funds within two days.

  • 08:04 Alena76

    Most people have been scammed severally and they give up on their funds I'm saying these because I was a victim too After loosing 745,000 USD I lose my mind until I read about COIN HACK RECOVERY I decided to contact the company on: [email protected] and I'm glad I made the decision not to give up. they helped me to recover all my lost funds within two days.

  • 08:15 Alena76

    Most people have been scammed severally and they give up on their funds I'm saying these because I was a victim too After loosing 745,000 USD I lose my mind until I read about COIN HACK RECOVERY I decided to contact the company on: [email protected] and I'm glad I made the decision not to give up. they helped me to recover all my lost funds within two days.

Для участия в Чате вам необходим бесплатный аккаунт pro-blockchain.com Войти Регистрация
Есть вопросы?
С вами на связи 24/7
Help Icon