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Н Новости

Reformer на TRAX?

Что такое Reformer и почему он круче Transformer’a?

Давайте предварительно начнем с того, что же такой Reformer и почему благодаря ему мы можем рассчитывать на расширение контекстов вплоть до десятков тысяч слов.

В классической архитектуре Transformer механизм внимания работает со сложностью, которая масштабируется квадратично с увеличением длины последовательности.

Это происходит потому, что каждый токен в последовательности должен вычислять оценки внимания со всеми другими токенами, что приводит к плотной матрице внимания, размер которой растет с квадратом длины последовательности – мрак для вычислительных способностей наших TPU и GPU.

Reformer решает эту проблему с помощью locality-sensitive hashing. LSH преобразует способ вычисления внимания, локализуя/приближая полный механизм внимания. Вместо вычисления оценок внимания между всеми парами токенов, LSH хеширует токены последовательности в корзины таким образом, что похожие токены с большей вероятностью попадают в одну и ту же корзину.

Как это работает? Допустим, каждая картинка превращается в набор чисел (вектор), и мы хотим найти картинки с похожими наборами чисел. LSH использует специальные математические функции, называемые хэш-функциями, чтобы превратить каждый набор чисел в короткую строку битов (хэш-код). Ключевая идея LSH состоит в том, что похожие наборы чисел должны давать похожие хэш-коды.

Теперь у нас есть много хэш-кодов для всех наших картинок. Мы можем разделить все хэш-коды на корзины и положить хэш-коды, которые похожи друг на друга, в одну корзину. Таким образом, картинки, которые были похожи друг на друга, теперь находятся в одной группе – корзине.

Когда у нас появляется новая картинка, мы снова превращаем ее в хэш-код и смотрим, в какой корзине она оказывается. Затем мы можем посмотреть на другие картинки в этой корзине и выбрать те, которые наиболее похожи на нашу новую картинку – так ускорить процесс.

Сложность механизма внимания снижается с квадратичной до почти линейной в зависимости от длины последовательности. Эта аппроксимация сохраняет критическую информацию, необходимую для эффективного внимания, при этом значительно снижая вычислительные и память затраты.

По итогу по мере роста глубины нейросети – мы получаем вновь высоченные требования к вычислениям.

Reformer решает эту проблему, используя обратимые остаточные слои, где выход каждого слоя может быть использован для восстановления входа, устраняя необходимость в сохранении всех промежуточных активаций. Этот метод экономит память.

Эти два ключевых нововведения в Reformer: использование LSH для эффективного вычисления внимания и обратимых остаточных слоев для оптимизации памяти — позволяют обрабатывать гораздо более длинные последовательности с существенно меньшими затратами ресурсов по сравнению с классическим Transformer. Теперь перед нами статьи из Википедий и целые книги…

Это фундаментальное различие не только повышает эффективность Reformer, но и расширяет его применимость для задач, связанных с обработкой длинных последовательностей данных, где важно захватывать дальнодействующие зависимости и широченный контекст.

Хотя и классический Transformer, и Reformer стремятся эффективно моделировать зависимости в последовательных данных, архитектурные инновации Reformer устраняют ограничения масштабируемости, присущие классическому Трансформеру.

Reformer достигает большей эффективности и масштабируемости, делая его мощным инструментом для обработки длинных последовательностей в обработке естественного языка, геномике, альбомов рэп-исполнителей… Ну да ладно…

В заключение, Reformer представляет собой глубокий сдвиг в дизайне нейронных сетей для моделирования последовательностей, устраняя основные ограничения традиционных Transformers. Короче говоря, мы получили действительно “эффективный” трансформер, который не требует от нас насильного изъятия рендер-ферм бедных трехмерщиков и активации ядерного реактора под мегаTPU.

Но гении нашего мира догадались использовать JAX и Reformer…

Библиотека для эффективного программирования?

Вот знаете, разрабатывали еще фреймворки для эффективной работы. JAX (Just Another eXtensor library) – библиотека для вычислений на графических процессорах (GPU) и наших любимых процессорах (TPU), автоматического дифференцирования и других вычислений в Python.

Одна из ключевых особенностей JAX – автоматическое дифференцирование. В отличие от методов разделения вручную или символьного дифференцирования, автоматическое разделение позволяет вычислять производные программно, используя компьютерные алгоритмы.

Каждая операция, выполненная в ходе вычислений, записывается в виде графа операций. Затем, используя правила дифференцирования элементарных операций, эти же операции применяются к каждому узлу графа для вычисления производной функции по каждому из входных параметров.

Преимущество автоматического дифференцирования заключается в том, что оно позволяет вычислять производные для сложных функций, состоящих из множества элементарных операций, без необходимости вручную выводить аналитическое выражение для производной.

JAX также внутренне использует XLA (Accelerated Linear Algebra, специальный компилятор, для оптимизации и ускорения выполнения вычислений. Тут неплохая статья с объяснением, что же это за зверь такой…

Это позволяет JAX достигать высокой производительности на GPU и TPU, делая его привлекательным выбором для задач, требующих высокой вычислительной мощности.

Да более того, JAX поощряет функциональный стиль программирования, в котором функции остаются неизменяемыми, и состояние передается через аргументы – получается чистый и распределенного кода.

Но вот появилась одна из задач реализовать реформер на библиотеке, заточенной под работу в контексте того самого JAX. Для этого нужно было как-то объединить и скоординировать JAX и классический TensorFlow – так появился TRAX от ресерчеров из Гугла, который работает поверх библиотек.

Она разработана командой Google Brain и спроектирована таким образом, чтобы быть эффективной и простой в использовании, учитывая как исследовательские, так и практические потребности. Благодаря своей модульности

В центре внимания Тракса лежит модульная и композиционная структура для построения и обучения нейронных сетей.

Как работать с библиотекой?

Она предлагает различные заранее определенные слои, активации и функции потерь, позволяя пользователям создавать пользовательские модели, настроенные под их конкретные потребности. У Trax есть своя коллекция предварительно обученных моделей: Трансформер и ResNet, которые легко можно донастроить или использовать для задач вывода.

Блочное программирование в Trax реализуется с помощью композиции слоев (layer compositions). Короче говоря, она работает по принципу блочного конструирования.

Слои – отдельные функции, принимающие на вход некоторые данные и преобразующие их в соответствии с определенными правилами. Например, слой Dense выполняет операцию умножения входных данных на матрицу весов и добавления смещения.

Для создания более сложных моделей в Trax можно объединять слои вместе с помощью функции Serial, которая последовательно применяет слои друг за другом, создавая цепочку слоев, где вывод одного слоя является входом для следующего.

Также можно комбинировать несколько слоев параллельно с помощью функции Parallel, которая применяет указанные слои к одним и тем же данным и объединяет их выводы.

Для повторяющихся шаблонов использования слоев Trax предоставляет функцию Branch, которая позволяет повторять один и тот же слой несколько раз внутри композиции.

Вот пример создания самого обычного слоя в Trax.

import trax
from trax import layers

# Создание слоя полносвязного перцептрона
dense_layer = layers.Dense(n_units=64)

# Применение слоя к входным данным
input_data = trax.random.uniform(shape=(1, 128))
output = dense_layer(input_data)

print(output.shape)  # Результат — форма выходных данных

Когда слои собраны в цепочки, они образуют модели. Вот пример конструирования и компиляции уже полноразмерной модели в Trax:

import trax
from trax import layers

# Создание модели с двумя слоями Dense
model = trax.models.MLP([layers.Dense(128), layers.Dense(64)])

# Компиляция модели с указанием функции потерь и оптимизатора
model.compile(loss_fn=trax.layers.CrossEntropyLoss(), optimizer=trax.optimizers.Adam(0.01))

# Вывод структуры модели
print(model)

Этот пример демонстрирует создание и компиляцию модели с двумя полносвязными слоями. Модель готова к обучению с использованием функции потерь CrossEntropyLoss и оптимизатора Adam с коэффициентом обучения 0.01.

После компиляции модели ее можно обучить на тренировочных данных и оценить на тестовых данных. Вот пример процесса обучения и оценки модели:

# Загрузка данных для обучения и тестирования
train_generator = trax.data.inputs.NumpyReader(input_data=train_inputs, input_steams=train_targets)
eval_generator = trax.data.inputs.NumpyReader(input_data=eval_inputs, input_streams=eval_targets)

# Обучение модели
model.fit(train_generator, epochs=10, eval_steps=eval_steps, eval_freq=1)

# Оценка модели
eval_loss = model.evaluate(eval_generator)
print("Evaluation Loss:", eval_loss)

Одним из основных преимуществ использования предварительно обученных моделей является возможность загрузки их весов, которые были обучены на больших наборах данных, таким образом, сохраняя знания их предшественников.

Вот пример загрузки предварительно обученных весов в модель Trax:

import trax
from trax import layers

# Создание модели
model = trax.models.TransformerLM(  # Например, модель TransformerLM
    d_model=512,
    d_ff=2048,
    n_layers=6,
    n_heads=8,
    vocab_size=32000,
    max_len=4096,
    mode='train'
)

# Загрузка предварительно обученных весов
pretrained_weights = '/path/to/pretrained_model_weights.npz'
model.init_from_file(pretrained_weights)

# Просмотр структуры модели
print(model)

В этом примере модель TransformerLM создается с заданными параметрами, а затем загружаются предварительно обученные веса из файла.

Это позволяет использовать знания, накопленные предварительно обученной моделью, для последующей тонкой настройки на специфические задачи.

После загрузки предварительно обученных весов, модель может быть адаптирована к конкретной задаче путем тонкой настройки (fine-tuning) ее весов на новых данных.

Вот пример адаптации предварительно обученной модели для классификации текста:


import trax
from trax import layers

# Создание модели
model = trax.models.TransformerLM(  # Например, модель TransformerLM
    d_model=512,
    d_ff=2048,
    n_layers=6,
    n_heads=8,
    vocab_size=32000,
    max_len=4096,
    mode='train'
)

# Загрузка предварительно обученных весов
pretrained_weights = '/path/to/pretrained_model_weights.npz'
model.init_from_file(pretrained_weights)

# Создание адаптированной версии модели для классификации текста
classification_model = trax.models.TransformerClassifier(
    body=model,
    n_classes=2  # Например, классификация на 2 класса
)

# Просмотр структуры адаптированной модели
print(classification_model)

В этом примере модель TransformerLM загружается с предварительно обученными весами, а затем адаптируется для классификации текста путем добавления дополнительного слоя классификатора. Это позволяет использовать предварительно обученную модель для новой задачи без необходимости обучения ее с нуля.

Одно из преимуществ библиотеки – ее интеграция с TensorFlow.

Обслуживание моделей с использованием TensorFlow Serving включает развертывание обученных моделей машинного обучения в производственных средах, позволяя им предоставлять прогнозы или выводы через протоколы HTTP или gRPC. TensorFlow Serving предоставляет гибкую и высокопроизводительную инфраструктуру для обслуживания моделей машинного обучения в различных сценариях развертывания.

Процесс включает в себя экспорт модели, установку TensorFlow Serving на сервере, конфигурацию сервера, запуск сервера TensorFlow Serving, отправку запросов на сервер и обработку обновлений и масштабирование модели. После конфигурации сервера и загрузки экспортированной модели TensorFlow, сервер готов принимать запросы на предсказания.

Важно отметить, что специфика этого процесса может различаться в зависимости от вашего случая использования и настройки инфраструктуры.

Экспорт модели: Перед тем, как обслуживать модель с помощью TensorFlow Serving, необходимо экспортировать ее в формат, совместимый с TensorFlow Serving. Обычно это включает сохранение обученной модели в формате SavedModel. Ниже приведен пример базового способа экспорта модели в TensorFlow:

import tensorflow as tf

# Предположим, что 'model' - ваша обученная модель TensorFlow
model.save('/путь/к/каталогу/экспорта', save_format='tf')

Установка TensorFlow Serving: TensorFlow Serving должен быть установлен на сервере, на котором вы планируете развернуть вашу модель. Его можно установить с помощью Docker, менеджеров пакетов или собрать из исходного кода.

Настройка TensorFlow Serving: Затем необходимо настроить TensorFlow Serving для загрузки вашей экспортированной модели и ее обслуживание. И безусловно, указать имя модели, версии и любых других настроек. Настройка может можно выполнить с использованием файла конфигурации TensorFlow Serving или через флаги командной строки при запуске сервера TensorFlow Serving.

Запуск сервера TensorFlow Serving: После настройки запустите сервер TensorFlow Serving. Это запустит сервер и загрузит вашу экспортированную модель в память, готовую к обслуживанию предсказаний.

Отправка запросов на сервер: При запущенном сервере TensorFlow Serving можно отправлять запросы на предсказания. C использованием HTTP REST API или gRPC. Клиенты могут отправлять входные данные на сервер, который обработает их с использованием загруженной модели и вернет предсказания.

Простой пример запуска сервера TensorFlow Serving с Docker:

docker run -p 8501:8501 --name=tfserving_model \
--mount type=bind,source=/путь/к/экспортированной_модели,target=/models/model_name \
-e MODEL_NAME=model_name -t tensorflow/serving

Эта команда запускает сервер TensorFlow Serving с использованием Docker, открывая его на порту 8501 и загружая экспортированную модель из каталога /путь/к/экспортированной_модели.

Reformer в коллабе с Trax?

Прежде всего, необходимо установить библиотеку TRAX. Это можно сделать с помощью команды pip install trax. После успешной установки можно приступать к созданию модели. Для этого нужно импортировать необходимые модули и задать конфигурацию модели.

Первый щаг - импорт нужных модулей:

import trax
from trax import layers as tl
from trax.supervised import training

Следующим этапом является определение гиперпараметров модели, таких как размер словаря (vocab_size), размер эмбеддингов (d_model), количество слоев (n_layers), количество голов в механизме внимания (n_heads) и другие параметры, которые определяют структуру и поведение модели. Пример задания гиперпараметров может выглядеть следующим образом:

vocab_size = 32000
d_model = 512
n_layers = 6
n_heads = 8
max_len = 2048

После задания гиперпараметров необходимо определить саму модель. В TRAX это делается с помощью последовательного создания слоев. Основной блок Реформера:

def ReformerLM(vocab_size=vocab_size, d_model=d_model, n_layers=n_layers, n_heads=n_heads, max_len=max_len):
    return trax.models.reformer.ReformerLM(
        vocab_size=vocab_size,
        d_model=d_model,
        n_layers=n_layers,
        n_heads=n_heads,
        max_len=max_len
    )

Здесь ReformerLM – это функция, создающая экземпляр модели ReformerLM с заданными параметрами.

Следующим шагом является подготовка данных для обучения. В TRAX имеется удобный модуль для работы с датасетами.

train_stream = trax.data.TFDS('wmt32k', keys=('inputs', 'targets'), train=True)
eval_stream = trax.data.TFDS('wmt32k', keys=('inputs', 'targets'), train=False)

Эти команды загружают тренировочный и валидационный датасеты из набора данных wmt32k, который предназначен для задач машинного перевода.

Для обучения модели необходимо создать обучающий цикл. В TRAX это делается с помощью класса training.TrainTask.

train_task = training.TrainTask(
    labeled_data=train_stream,
    loss_layer=tl.CrossEntropyLoss(),
    optimizer=trax.optimizers.Adam(),
    lr_schedule=trax.lr.warmup_and_rsqrt_decay(4000, 0.01),
    n_steps_per_checkpoint=500
)

Аналогичным образом создается и валидационная задача:

eval_task = training.EvalTask(
    labeled_data=eval_stream,
    metrics=[tl.CrossEntropyLoss(), tl.Accuracy()],
    n_eval_batches=10
)

После создания тренировочной и валидационной задач можно определить обучение, объединив их в обучающий процесс. Используем training.Loop:

training_loop = training.Loop(
    ReformerLM(),
    train_task,
    eval_tasks=[eval_task],
    output_dir='/content/reformer_model/'
)

Обучение модели запускается командой training_loop.run(n_steps=10000), где n_steps – это количество шагов, которые модель должна пройти в процессе обучения.

И дополнительно рекомендуем почитать:

https://github.com/google/jax

https://ru.wikipedia.org/wiki/Google_JAX

https://habr.com/ru/articles/522622/

https://paperswithcode.com/method/reformer

https://arxiv.org/abs/2001.04451v2

https://arxiv.org/pdf/2001.04451v2

https://research.google/blog/reformer-the-efficient-transformer/

https://github.com/google/trax

https://trax-ml.readthedocs.io/en/latest/notebooks/trax_intro.htm

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31 мая 2024 г.

07.09.23 16:24 CherryTeam

Cherry Team atlyginimų skaičiavimo programa yra labai naudingas įrankis įmonėms, kai reikia efektyviai valdyti ir skaičiuoti darbuotojų atlyginimus. Ši programinė įranga, turinti išsamias funkcijas ir patogią naudotojo sąsają, suteikia daug privalumų, kurie padeda supaprastinti darbo užmokesčio skaičiavimo procesus ir pagerinti finansų valdymą. Štai keletas pagrindinių priežasčių, kodėl Cherry Team atlyginimų skaičiavimo programa yra naudinga įmonėms: Automatizuoti ir tikslūs skaičiavimai: Atlyginimų skaičiavimai rankiniu būdu gali būti klaidingi ir reikalauti daug laiko. Programinė įranga Cherry Team automatizuoja visą atlyginimų skaičiavimo procesą, todėl nebereikia atlikti skaičiavimų rankiniu būdu ir sumažėja klaidų rizika. Tiksliai apskaičiuodama atlyginimus, įskaitant tokius veiksnius, kaip pagrindinis atlyginimas, viršvalandžiai, premijos, išskaitos ir mokesčiai, programa užtikrina tikslius ir be klaidų darbo užmokesčio skaičiavimo rezultatus. Sutaupoma laiko ir išlaidų: Darbo užmokesčio valdymas gali būti daug darbo jėgos reikalaujanti užduotis, reikalaujanti daug laiko ir išteklių. Programa Cherry Team supaprastina ir pagreitina darbo užmokesčio skaičiavimo procesą, nes automatizuoja skaičiavimus, generuoja darbo užmokesčio žiniaraščius ir tvarko išskaičiuojamus mokesčius. Šis automatizavimas padeda įmonėms sutaupyti daug laiko ir pastangų, todėl žmogiškųjų išteklių ir finansų komandos gali sutelkti dėmesį į strategiškai svarbesnę veiklą. Be to, racionalizuodamos darbo užmokesčio operacijas, įmonės gali sumažinti administracines išlaidas, susijusias su rankiniu darbo užmokesčio tvarkymu. Mokesčių ir darbo teisės aktų laikymasis: Įmonėms labai svarbu laikytis mokesčių ir darbo teisės aktų, kad išvengtų baudų ir teisinių problemų. Programinė įranga Cherry Team seka besikeičiančius mokesčių įstatymus ir darbo reglamentus, užtikrindama tikslius skaičiavimus ir teisinių reikalavimų laikymąsi. Programa gali dirbti su sudėtingais mokesčių scenarijais, pavyzdžiui, keliomis mokesčių grupėmis ir įvairių rūšių atskaitymais, todėl užtikrina atitiktį reikalavimams ir kartu sumažina klaidų riziką. Ataskaitų rengimas ir analizė: Programa Cherry Team siūlo patikimas ataskaitų teikimo ir analizės galimybes, suteikiančias įmonėms vertingų įžvalgų apie darbo užmokesčio duomenis. Ji gali generuoti ataskaitas apie įvairius aspektus, pavyzdžiui, darbo užmokesčio paskirstymą, išskaičiuojamus mokesčius ir darbo sąnaudas. Šios ataskaitos leidžia įmonėms analizuoti darbo užmokesčio tendencijas, nustatyti tobulintinas sritis ir priimti pagrįstus finansinius sprendimus. Pasinaudodamos duomenimis pagrįstomis įžvalgomis, įmonės gali optimizuoti savo darbo užmokesčio strategijas ir veiksmingai kontroliuoti išlaidas. Integracija su kitomis sistemomis: Cherry Team programinė įranga dažnai sklandžiai integruojama su kitomis personalo ir apskaitos sistemomis. Tokia integracija leidžia automatiškai perkelti atitinkamus duomenis, pavyzdžiui, informaciją apie darbuotojus ir finansinius įrašus, todėl nebereikia dubliuoti duomenų. Supaprastintas duomenų srautas tarp sistemų padidina bendrą efektyvumą ir sumažina duomenų klaidų ar neatitikimų riziką. Cherry Team atlyginimų apskaičiavimo programa įmonėms teikia didelę naudą - automatiniai ir tikslūs skaičiavimai, laiko ir sąnaudų taupymas, atitiktis mokesčių ir darbo teisės aktų reikalavimams, ataskaitų teikimo ir analizės galimybės bei integracija su kitomis sistemomis. Naudodamos šią programinę įrangą įmonės gali supaprastinti darbo užmokesčio skaičiavimo procesus, užtikrinti tikslumą ir atitiktį reikalavimams, padidinti darbuotojų pasitenkinimą ir gauti vertingų įžvalgų apie savo finansinius duomenis. Programa Cherry Team pasirodo esanti nepakeičiamas įrankis įmonėms, siekiančioms efektyviai ir veiksmingai valdyti darbo užmokestį. https://cherryteam.lt/lt/
08.10.23 01:30 davec8080

The "Shibarium for this confirmed rug pull is a BEP-20 project not related at all to Shibarium, SHIB, BONE or LEASH. The Plot Thickens. Someone posted the actual transactions!!!! https://bscscan.com/tx/0xa846ea0367c89c3f0bbfcc221cceea4c90d8f56ead2eb479d4cee41c75e02c97 It seems the article is true!!!! And it's also FUD. Let me explain. Check this link: https://bscscan.com/token/0x5a752c9fe3520522ea88f37a41c3ddd97c022c2f So there really is a "Shibarium" token. And somebody did a rug pull with it. CONFIRMED. But the "Shibarium" token for this confirmed rug pull is a BEP-20 project not related at all to Shibarium, SHIB, BONE or LEASH.
24.06.24 04:31 tashandiarisha

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26.06.24 18:46 Jacobethannn098

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26.06.24 18:46 Jacobethannn098

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04.07.24 04:49 ZionNaomi

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13.07.24 21:13 michaelharrell825

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17.07.24 02:26 thompsonrickey

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18.07.24 20:13 austinagastya

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27.08.24 12:50 James889900

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27.08.24 13:06 James889900

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02.09.24 20:24 [email protected]

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06.09.24 01:35 Celinagarcia

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06.09.24 01:44 Celinagarcia

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16.09.24 00:10 marcusaustin

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16.09.24 00:11 marcusaustin

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23.09.24 18:56 matthewshimself

At first, I was admittedly skeptical about Worldcoin (ref: https://worldcoin.org/blog/worldcoin/this-is-worldcoin-video-explainer-series), particularly around the use of biometric data and the WLD token as a reward mechanism for it. However, after following the project closer, I’ve come to appreciate the broader vision and see the value in the underlying tech behind it. The concept of Proof of Personhood (ref: https://worldcoin.org/blog/worldcoin/proof-of-personhood-what-it-is-why-its-needed) has definitely caught my attention, and does seem like a crucial step towards tackling growing issues like bots, deepfakes, and identity fraud. Sam Altman’s vision is nothing short of ambitious, but I do think he & Alex Blania have the chops to realize it as mainstay in the global economy.
01.10.24 14:54 Sinewclaudia

I lost about $876k few months ago trading on a fake binary option investment websites. I didn't knew they were fake until I tried to withdraw. Immediately, I realized these guys were fake. I contacted Sinew Claudia world recovery, my friend who has such experience before and was able to recover them, recommended me to contact them. I'm a living testimony of a successful recovery now. You can contact the legitimate recovery company below for help and assistance. [email protected] [email protected] WhatsApp: 6262645164
02.10.24 22:27 Emily Hunter

Can those who have fallen victim to fraud get their money back? Yes, you might be able to get back what was taken from you if you fell prey to a fraud from an unregulated investing platform or any other scam, but only if you report it to the relevant authorities. With the right plan and supporting documentation, you can get back what you've lost. Most likely, the individuals in control of these unregulated platforms would attempt to convince you that what happened to your money was a sad accident when, in fact, it was a highly skilled heist. You should be aware that there are resources out there to help you if you or someone you know has experienced one of these circumstances. Do a search using (deftrecoup (.) c o m). Do not let the perpetrators of this hoaxes get away with ruining you mentally and financially.
18.10.24 09:34 freidatollerud

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31.10.24 00:13 ytre89

Can those who have fallen victim to fraud get their money back? Yes, you might be able to get back what was taken from you if you fell prey to a fraud from an unregulated investing platform or any other scam, but only if you report it to the relevant authorities. With the right plan and supporting documentation, you can get back what you've lost. Most likely, the individuals in control of these unregulated platforms would attempt to convince you that what happened to your money was a sad accident when, in fact, it was a highly skilled heist. You should be aware that there are resources out there to help you if you or someone you know has experienced one of these circumstances. Do a search using (deftrecoup (.) c o m). Do not let the perpetrators of this hoaxes get away with ruining you mentally and financially.
02.11.24 14:44 diannamendoza732

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12.11.24 00:50 TERESA

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17.11.24 09:31 Vivianlocke223

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19.11.24 03:06 [email protected]

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19.11.24 03:07 [email protected]

My entire existence fell apart when a malevolent hacker recently gained access to my online accounts. I felt violated and extremely uneasy after discovering that the digital platforms I depended on for communication, employment, and finances had been compromised. Regaining control and restoring my digital security was an overwhelming task in the immediate aftermath. To help me navigate the difficult process of recovering my accounts and getting my peace of mind back, TRUST GEEKS HACK EXPERT came into my life as a ray of hope. They immediately put their highly skilled professionals to work, thoroughly examining the vulnerability and methodically preventing unwanted access. They guided me through each stage soothingly, explaining what was occurring and why, so I never felt lost or alone. They communicated with service providers to restore my legitimate access while skillfully navigating the complex labyrinth of account recovery procedures. My digital footprint was cleaned and strengthened against future attacks thanks to their equally amazing ability to remove any remaining evidence of the hacker's presence. However, TRUST GEEKS HACK EXPERT actual worth went beyond its technical aspects. They offered constant emotional support during the ordeal, understanding my fragility and sense of violation. My tense nerves were calmed by their comforting presence and kind comments, which served as a reminder that I wasn't alone in this struggle. With their help, I was able to reestablish my sense of security and control, which enabled me to return my attention to the significant areas of my life that had been upended. Ultimately, TRUST GEEKS HACK EXPERT all-encompassing strategy not only recovered my online accounts but also my general peace of mind, which is a priceless result for which I am incredibly appreciative of their knowledge and kindness. Make the approach and send a message to TRUST GEEKS HACK EXPERT Via Web site <> www://trustgeekshackexpert.com/-- E>mail: Trustgeekshackexpert(At)fastservice..com -- TeleGram,<> Trustgeekshackexpert
21.11.24 04:14 ronaldandre617

Being a parent is great until your toddler figures out how to use your devices. One afternoon, I left my phone unattended for just a few minutes rookie mistake of the century. I thought I’d take a quick break, but little did I know that my curious little genius was about to embark on a digital adventure. By the time I came back, I was greeted by two shocking revelations: my toddler had somehow managed to buy a $5 dinosaur toy online and, even more alarmingly, had locked me out of my cryptocurrency wallet holding a hefty $75,000. Yes, you heard that right a dinosaur toy was the least of my worries! At first, I laughed it off. I mean, what toddler doesn’t have a penchant for expensive toys? But then reality set in. I stared at my phone in disbelief, desperately trying to guess whatever random string of gibberish my toddler had typed as a new password. Was it “dinosaur”? Or perhaps “sippy cup”? I felt like I was in a bizarre game of Password Gone Wrong. Every attempt led to failure, and soon the laughter faded, replaced by sheer panic. I was in way over my head, and my heart raced as the countdown of time ticked away. That’s when I decided to take action and turned to Digital Tech Guard Recovery, hoping they could solve the mystery that was my toddler’s handiwork. I explained my predicament, half-expecting them to chuckle at my misfortune, but they were incredibly professional and empathetic. Their confidence put me at ease, and I knew I was in good hands. Contact With WhatsApp: +1 (443) 859 - 2886 Email digital tech guard . com Telegram: digital tech guard recovery . com website link :: https : // digital tech guard . com Their team took on the challenge like pros, employing their advanced techniques to unlock my wallet with a level of skill I can only describe as magical. As I paced around, anxiously waiting for updates, I imagined my toddler inadvertently locking away my life savings forever. But lo and behold, it didn’t take long for Digital Tech Guard Recovery to work their magic. Not only did they recover the $75,000, but they also gave me invaluable tips on securing my wallet better like not leaving it accessible to tiny fingers! Who knew parenting could lead to such dramatic situations? Crisis averted, and I learned my lesson: always keep my devices out of reach of little explorers. If you ever find yourself in a similar predicament whether it’s tech-savvy toddlers or other digital disasters don’t hesitate to reach out to Digital Tech Guard Recovery. They saved my funds and my sanity, proving that no challenge is too great, even when it involves a toddler’s mischievous fingers!
21.11.24 08:02 Emily Hunter

If I hadn't found a review online and filed a complaint via email to support@deftrecoup. com , the people behind this unregulated scheme would have gotten away with leaving me in financial ruins. It was truly the most difficult period of my life.
22.11.24 04:41 [email protected]

I never could have imagined the nightmare of losing access to my digital wallet. All of my cryptocurrency holdings were abruptly imprisoned, inaccessible, and appeared to be lost forever following a catastrophic hardware breakdown. Years of meticulous investment and careful saving were reduced to nothing more than strings of code that I could no longer control, and I could feel the dread and sorrow that swept through me at that very instant. Thankfully, during my worst moment, I came into (TRUST GEEKS HACK EXPERT), a professional service devoted to recovering lost or inaccessible digital data. With optimism, I went out to their team of skilled technologists, laying bare the full nature of my issue. What followed was a laborious, multi-step process that required an almost surgical level of digital forensics and Bitcoin skill. In order to create a thorough profile of my wallet's contents and activities, the (TRUST GEEKS HACK EXPERT) team first thoroughly examined the transaction history and metadata connected to it. Next, they implemented a series of advanced recovery techniques, using cutting-edge software tools to bypass the access barriers that had left me locked out. The entire process was shrouded in secrecy and discretion, with the (TRUST GEEKS HACK EXPERT) team working tirelessly to protect the confidentiality of my sensitive financial information. After what felt like an eternity of nervous anticipation, the day finally arrived when I received the triumphant notification – my wallet had been successfully restored, and all of my precious digital assets had been returned to my control. The sense of relief was indescribable, as I could finally breathe easy knowing that the fruits of my financial discipline had been safeguarded. While the experience of losing access to my wallet was undoubtedly traumatic, (TRUST GEEKS HACK EXPERT) intervention allowed me to emerge from the ordeal with my cryptocurrency holdings intact, and a renewed appreciation for the importance of proactive digital asset management. You can contact Them through EMAIL: [email protected] - TELEGRAM: TRUSTGEEKSHACKEXPERT
22.11.24 15:26 cliftonhandyman

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22.11.24 23:43 teresaborja

all thanks to Tech Cyber Force Recovery expert assistance. As a novice in cryptocurrency, I had been carefully accumulating a modest amount of Bitcoin, meticulously safeguarding my digital wallet and private keys. However, as the adage goes, the best-laid plans can often go awry, and that's precisely what happened to me. Due to a series of technical mishaps and human errors, I found myself locked out of my Bitcoin wallet, unable to access the fruits of my digital labors. Panic set in as I frantically searched for a solution, scouring the internet for any glimmer of hope. That's when I stumbled upon the Tech Cyber Force Recovery team, a group of seasoned cryptocurrency specialists who had built a reputation for their ability to recover lost or inaccessible digital assets. Skeptical at first, I reached out, desperate for a miracle. To my utter amazement, the Tech Cyber Force Recovery experts quickly assessed my situation and devised a meticulous plan of attack. Through their deep technical knowledge, unwavering determination, and a keen eye for detail, they were able to navigate the complex labyrinth of blockchain technology, ultimately recovering my entire Bitcoin portfolio. What had once seemed like a hopeless endeavor was now a reality, and I found myself once again in possession of my digital wealth, all thanks to the incredible efforts of the Tech Cyber Force Recovery team. This experience has not only restored my faith in the cryptocurrency ecosystem. Still, it has also instilled in me a profound appreciation for the critical role that expert recovery services can play in safeguarding one's digital assets. ENAIL < Tech cybers force recovery @ cyber services. com > WEBSITE < ht tps : // tech cyber force recovery. info > TEXT < +1. 561. 726. 3697 >
24.11.24 02:21 [email protected]

I never could have imagined the nightmare of losing access to my digital wallet. All of my cryptocurrency holdings were abruptly imprisoned, inaccessible, and appeared to be lost forever following a catastrophic hardware breakdown. Years of meticulous investment and careful saving were reduced to nothing more than strings of code that I could no longer control, and I could feel the dread and sorrow that swept through me at that very instant. Thankfully, during my worst moment, I came into (TRUST GEEKS HACK EXPERT), a professional service devoted to recovering lost or inaccessible digital data. With optimism, I went out to their team of skilled technologists, laying bare the full nature of my issue. What followed was a laborious, multi-step process that required an almost surgical level of digital forensics and Bitcoin skill. In order to create a thorough profile of my wallet's contents and activities, the (TRUST GEEKS HACK EXPERT) team first thoroughly examined the transaction history and metadata connected to it. Next, they implemented a series of advanced recovery techniques, using cutting-edge software tools to bypass the access barriers that had left me locked out. The entire process was shrouded in secrecy and discretion, with the (TRUST GEEKS HACK EXPERT) team working tirelessly to protect the confidentiality of my sensitive financial information. After what felt like an eternity of nervous anticipation, the day finally arrived when I received the triumphant notification – my wallet had been successfully restored, and all of my precious digital assets had been returned to my control. The sense of relief was indescribable, as I could finally breathe easy knowing that the fruits of my financial discipline had been safeguarded. While the experience of losing access to my wallet was undoubtedly traumatic, (TRUST GEEKS HACK EXPERT) intervention allowed me to emerge from the ordeal with my cryptocurrency holdings intact, and a renewed appreciation for the importance of proactive digital asset management. You can contact Them through EMAIL: [email protected] - TELEGRAM: TRUSTGEEKSHACKEXPERT
25.11.24 02:19 briankennedy

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25.11.24 02:20 briankennedy

After countless hours of research and desperate attempts to find a solution, I stumbled upon FASTFUND RECOVERY. It was like finding an oasis in the middle of a desert. Their website promised to help victims of scams reclaim what was rightfully theirs, and I instantly knew I had to give them a shot. Before diving headfirst into the recovery process, I wanted to make sure that FASTFUND RECOVERY was the real deal. So, I did my due diligence and looked into their expertise and reputation. To my relief, I found that they had an impeccable track record, successfully assisting countless individuals in recovering their lost funds. Their team consisted of experts in cybersecurity and financial fraud, armed with the knowledge and tools needed to tackle even the most intricate scams. With their reputation preceding them, I felt a renewed sense of hope. FASTFUND RECOVERY successfully came to my aid and got back the amount I lost to these scammers and for this, I am sending this article for clarification. The info of FASTFUND RECOVERY is email: Fastfundrecovery8 (@)Gmail (.) com. Web fastfundrecovery(.)com. (W/A 1 807/500/7554)
26.11.24 21:59 [email protected]

In a world brimming with enticing investment opportunities, it is crucial to tread carefully. The rise of digital currencies has attracted many eager investors, but along with this excitement lurk deceitful characters ready to exploit the unsuspecting. I learned this lesson the hard way, and I want to share my story in the hopes that it can save someone from making the same mistakes I did. It all began innocently enough when I came across an engaging individual on Facebook. Lured in by promises of high returns in the cryptocurrency market, I felt the electric thrill of potential wealth coursing through me. Initial investments returned some profits, and that exhilarating taste of success fueled my ambition. Encouraged by a meager withdrawal, I decided to commit even more funds. This was the moment I let my guard down, blinded by greed. As time went on, the red flags started to multiply. The moment I tried to withdraw my earnings, a cascade of unreasonable fees appeared like a thick mist, obscuring the truth. “Just a little more,” they said, “Just until the next phase.” I watched my hard-earned money slip through my fingers as I scraped together every last cent to pay those relentless fees. My trust had become my downfall. In the end, I lost not just a significant amount of cash, but my peace of mind about $1.1 million vanished into the abyss of false promises and hollow guarantees. But despair birthed hope. After a cascade of letdowns, I enlisted the help of KAY-NINE CYBER SERVICES, a team that specializes in reclaiming lost funds from scams. Amazingly, they worked tirelessly to piece together what had been ripped away, providing me with honest guidance when I felt utterly defeated. Their expertise in navigating the treacherous waters of crypto recovery was a lifeline I desperately needed. To anyone reading this, please let my story serve as a warning. High returns often come wrapped in the guise of deception. Protect your investments, scrutinize every opportunity, and trust your instincts. Remember, the allure of quick riches can lead you straight to heartbreak, but with cautious determination and support, it is possible to begin healing from such devastating loss. Stay informed, stay vigilant, and may you choose your investment paths wisely. Email: kaynine @ cyberservices . com
26.11.24 23:12 rickrobinson8

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26.11.24 23:12 rickrobinson8

Although recovering from the terrible effects of investment fraud can seem like an impossible task, it is possible to regain financial stability and go on with the correct assistance and tools. In my own experience with Wizard Web Recovery, a specialized company that assisted me in navigating the difficulties of recouping my losses following my fall prey to a sophisticated online fraud, that was undoubtedly the case. My life money had disappeared in an instant, leaving me in a state of shock when I first contacted Spartan Tech Group Retrieval through this Email: spartantechretrieval (@) g r o u p m a i l .c o m The compassionate and knowledgeable team there quickly put my mind at ease, outlining a clear and comprehensive plan of action. They painstakingly examined every aspect of my case, using their broad business contacts and knowledge to track the movement of my pilfered money. They empowered me to make knowledgeable decisions regarding the rehabilitation process by keeping me updated and involved at every stage. But what I valued most was their unrelenting commitment and perseverance; they persisted in trying every option until a sizable amount of my lost money had been successfully restored. It was a long and arduous journey, filled with ups and downs, but having Spartan Tech Group Retrieval in my corner made all the difference. Thanks to their tireless efforts, I was eventually able to rebuild my financial foundation and reclaim a sense of security and control over my life. While the emotional scars of investment fraud may never fully heal, working with this remarkable organization played a crucial role in my ability to move forward and recover. For proper talks, contact on WhatsApp:+1 (971) 4 8 7 - 3 5 3 8 and Telegram:+1 (581) 2 8 6 - 8 0 9 2 Thank you for your time reading as it will be of help.
27.11.24 00:39 [email protected]

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27.11.24 09:10 Michal Novotny

The biggest issue with cryptocurrency is that it is unregulated, wh ich is why different people can come up with different fake stories all the time, and it is unfortunate that platforms like Facebook and others only care about the money they make from them through ads. I saw an ad on Facebook for Cointiger and fell into the scam, losing over $30,000. I reported it to Facebook, but they did nothing until I discovered deftrecoup . c o m from a crypto community; they retrieved approximately 95% of the total amount I lost.