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[Перевод] Всё, что я узнал о запуске локальных языковых моделей

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В мире, где облачные решения диктуют свои правила, локальные модели дают свободу — полную приватность, работу офлайн и отсутствие ограничений. Эта статья для тех, кто хочет впервые попробовать самостоятельно запустить LLM на своем компьютере.

В статье подробно разобраны разные виды LLM, их особенности и сценарии использования. Какие модели лучше подходят для программирования? Какие эффективнее справляются с переводами, генерацией текста или анализом больших объемов данных? Автор статьи Chris Wellons* протестировал популярные открытые модели — Mistral, Qwen, DeepSeek-Coder, Mixtral, Llama 3.1 и другие, — чтобы понять их сильные и слабые стороны. Также автор делится опытом и практическими советами, которые помогут вам запустить и использовать LLM на собственном оборудовании. Хотите разобраться, какую модель выбрать под свои задачи и как эффективно запустить её на локальном оборудовании? Тогда приступим!

*Обращаем ваше внимание, что позиция автора может не всегда совпадать с мнением МойОфис


Эта статья обсуждалась на Hacker News.

В течение последнего месяца я изучал быстро развивающийся мир больших языковых моделей (LLM). Сегодня уже возможно запустить LLM на Raspberry Pi, и она будет умнее оригинального ChatGPT (версии ноября 2022 года). Обычные настольный компьютер или ноутбук поддерживают еще более продвинутый ИИ. К тому же он приватный, работает офлайн, без ограничений и не требует регистрации.

В этой статье я делюсь своими практическими знаниями и опытом — той информацией, которую я сам хотел бы иметь, когда только начинал. Только прошу учесть, что я не специалист в области LLM, у меня нет каких-то уникальных знаний, и вполне вероятно, что я неправильно понял некоторые аспекты. Через год эта статья сгодится разве что для экскурса в историю, и это одновременно захватывает и пугает.

Итак, если вы всё это время были в танке — не волнуйтесь, мы с вами из одной дивизии — LLM — это нейронные сети, совершившие прорыв в 2022 году, когда их обучили вести диалог. С помощью LLM пользователи могут общаться с до ужаса креативным искусственным интеллектом, который неотличим от человека и с легкостью проходит тест Тьюринга. Первый же разговор с ним вызвал во мне какое-то тревожное чувство, которое преследовало меня еще пару дней. Когда я покупал свой нынешний комп, я никак не ожидал, что буду вести с ним осмысленную беседу.

Этот опыт напомнил мне революцию в настольных компьютерах 1990-х годов, когда только что купленный компьютер устаревал чуть ли не в тот же момент, когда вы приносили его домой. Каждую неделю появляются новые разработки, поэтому я игнорирую практически всю информацию, которой больше года. Лучший способ быть в курсе событий — r/LocalLLaMa. Всё раздуто до небес, так что советую воспринимать то, что вам говорят, с долей скепсиса.

Я с опаской отношусь к привязке к одному поставщику, так как уже сталкивался с тем, что сервисы закрывались, менялись или иным образом переставали поддерживать мой сценарий использования. Мне нужен вариант, при котором я смогу продолжить работу, даже если придётся сменить поставщика. Поэтому пару лет я игнорировал LLM. «Закрытые» модели, доступные только как сервис, имеют классическую проблему привязки, включая постепенное ухудшение качества. Всё изменилось, когда я узнал, что могу запускать модели, близкие к самым передовым, на собственном компьютере — полная противоположность привязке к поставщику.

Эта статья именно о запуске LLM. Тонкую настройку и тем более обучение я здесь не затрагиваю. И еще речь идет только о тексте, а не о видео, голосе или других «мультимодальных» возможностях, которые мне не так нужны.

Чтобы запустить LLM на своем оборудовании, вам понадобятся программное обеспечение и модель.

Программное обеспечение

Я использовал только llama.cpp. Существуют и другие варианты, но для базовых расчетов на CPU — то есть генерации токенов с помощью процессора, а не видеокарты — llama.cpp не требует ничего, кроме инструментария C++. В частности, никаких манипуляций с Python, которые наносят ущерб большей части экосистемы. На Windows это будет llama-server.exe размером 5 МБ без каких-либо зависимостей от времени выполнения. С помощью всего двух файлов, EXE и GGUF (модель), оба из которых предназначены для загрузки через отображение в память, вы, вероятно, сможете запустить ту же самую LLM через 25 лет, точно так же, «из коробки», на какой-нибудь будущей версии Windows.

Признаюсь: я предвзят, потому что официальный процесс сборки для Windows — это w64devkit. Что я могу сказать? У этих ребят отличный вкус! Тем не менее, советую использовать инференс на CPU только в том случае, если инференс на GPU непрактичен. Он довольно хорошо работает с моделями до ~10 млрд параметров на настольном компьютере или ноутбуке, но медленнее. Мой основной вариант не собран с помощью w64devkit, потому что я использую CUDA для инференса, что требует инструментария MSVC. Просто ради интереса я портировал llama.cpp на Windows XP и запустил модель на 360 млн параметров на ноутбуке 2008 года выпуска. Было волшебно загрузить на этот старый ноутбук технологию, которая в то время, когда он был новым, стоила бы миллиарды долларов.

Узким местом для инференса на GPU является видеопамять — VRAM. Эти модели, как вы, вероятно, уже догадались, большие. Чем больше у вас оперативной памяти, тем больше модель и длиннее контекстное окно. Более крупные модели умнее, а длинные контексты позволяют обрабатывать больше информации за раз. Инференс на GPU не стоит того при объеме VRAM менее 8 ГБ. Если GPU у вас маловато, делайте инференс на CPU. Тем более начать работу с инференсом на CPU проще.

В llama.cpp много утилит, но эта статья касается только одной: llama-server — программа, которую вам нужно запустить. Это HTTP-сервер (порт по умолчанию 8080) с чат-интерфейсом в корне и API для использования программами, включая другие пользовательские интерфейсы. Типичный вызов:

$ llama-server --flash-attn --ctx-size 0 --model MODEL.gguf

Размер контекста — это максимальное количество токенов, которое LLM может обработать за раз, включая ввод и вывод. В контекстах обычно бывает от 8 до 128 тысяч токенов, и в зависимости от токенизатора модели, обычный английский текст содержит примерно 1,6 токена на слово, если считать с помощью wc -w. Если модель поддерживает большой контекст, у вас может закончиться память. В таком случае установите меньший размер контекста, например --ctx-size $((1<<13)) (т.е. 8 тыс. токенов).

Я пока не понимаю, что такое Flash Attention, и не знаю, почему --flash-attn/-fa не используется по умолчанию (меньшая точность?), но вы всегда должны его запрашивать, так как при активации он снижает требования к памяти и определенно стоит затрат.

Если сервер успешно запустился, зайдите на него (http://localhost:8080/), чтобы испытать. Хотя, конечно, сначала вам понадобится модель.

Модели

Hugging Face (HF) — это «GitHub для LLM». Невероятно полезный сервис, который на самом деле отвечает своему названию. «Маленькие» модели занимают несколько гигабайт, большие — сотни гигабайт, а HF хостит всё это бесплатно. За некоторыми исключениями, которые на практике не имеют значения, здесь даже не нужно регистрироваться, чтобы скачать модели! (Я был настолько впечатлен, что через несколько дней заплатил за pro-аккаунт, хоть я и скряга). Это значит, что вы можете сразу же скачать и попробовать все, о чем я сейчас расскажу.

Когда вы туда зайдете, то, наверное, будете недоуменно чесать в затылке: «Здесь так много всего... Что мне, собственно, скачивать?» По крайней мере, месяц назад так думал я. Ответ для llama.cpp GGUF. Ни одна из моделей изначально не представлена в формате GGUF. Вместо этого GGUF находятся в репозитории с «GGUF» в названии, обычно созданном третьей стороной: одним из героически плодовитых квантователей GGUF.

Обратите внимание, что нигде в официальной документации не объясняется расшифровка аббревиатуры «GGUF». Привыкайте к этому. Это технологический фронтир, и если эта информация вообще существует, она явно не на виду. Вы думаете спросить об этом свою LLM, когда она заработает? Увы, у вас ничего не выйдет, и скоро мы поговорим почему. Насколько я могу судить, «GGUF» не имеет официального определения (UPD: U означает «Unified» (унифицированный), но остальное всё ещё неоднозначно.

Поскольку llama.cpp назван в честь флагманской модели Meta, логично начинать с их модели, хотя лично мне она нравится меньше всего. Последняя версия — Llama 3.2. Но на данный момент в Llama.cpp работают только модели 1B и 3B — то есть примерно c одним миллиардом и с тремя миллиардами параметров. Они слишком малы, чтобы быть по-настоящему полезными, и ваш компьютер, вероятно, справится лучше, если это не Raspberry Pi, даже при инференсе на CPU. Llama 3.1 8B — лучший вариант. (Если у вас есть хотя бы 24 ГБ видеопамяти, то, возможно, вы даже сможете использовать Llama 3.1 70B.)

Если вы поищете Llama 3.1 8B, то найдете два варианта: один с пометкой «instruct», а другой без уточнений. Instruct означает, что модель обучена следовать инструкциям, то есть вести диалог, и это почти всегда то, что вам нужно. Другая — это «базовая» модель, которая может только продолжать текст. (Технически модель instruct тоже просто завершает текст, но об этом позже.) Было бы очень удобно, если бы базовые модели имели пометку «Base», но по какой-то глупой традиции чаще всего это не так.

Вы не найдете GGUF в разделе «Files» для модели instruct, и не сможете скачать модель без регистрации и согласия с лицензией сообщества. Вернитесь к поиску, введите GGUF и найдите соответствующую модель GGUF: bartowski/Meta-Llama-3.1-8B-Instruct-GGUF. bartowski — один из самых продуктивных и уважаемых квантователей GGUF. Все будет не только в нужном формате для llama.cpp, но и без регистрации.

Теперь в разделе «Файлы» вы увидите множество GGUF. Это различные квантования одной и той же модели. Исходная модель имеет тензоры bfloat16, но для простого запуска модели мы можем отбросить большую часть этой точности с минимальными потерями. Она станет чуть менее умной и осведомленной, но потребует значительно меньше ресурсов. Исходя из своего опыта, советую использовать Q4_K_M, 4-битное квантование. В целом, лучше запустить 4-битное квантование большей модели, чем 8-битное квантование меньшей. Когда вы освоите основы, поэкспериментируйте с разными квантованиями и найдите то, что вам больше подходит!

Мои любимые модели

Модели обучаются с учетом различных компромиссов, у них есть сильные и слабые стороны, поэтому ни одна модель не является лучшей во всем — особенно на конфигурациях с «бедными» GPU. В моем настольном компьютере стоит RTX 3050 Ti с 8 ГБ видеопамяти, и ее ограничения определили мой выбор. Я могу комфортно работать с моделями ~10B, а для моделей ~30B возможностей едва-едва хватает на то, чтобы просто проверить, что они могут. Для моделей ~70B я использую сторонние хостинги. Все мои показатели t/s получены на этой системе при работе с 4-битными квантованиями.

В списке, который я привожу далее, слово «instruct» в названии модели опущено. Но подразумевается именно модель instruct, если не указано иное. Некоторые из них действительно открыты, насколько это возможно для LLM, и в таких случаях я указал лицензию. У остальных есть ограничения как на использование, так и на распространение.

  • Mistral-Nemo-2407 (12B) [Apache 2.0]

Результат сотрудничества Mistral AI и Nvidia («Nemo») — самая универсальная модель ~10B, которую я использовал, и моя модель по умолчанию. Вывод начинается с комфортной скорости 30 t/s. Ее сильные стороны — написание текстов и вычитка, а еще она анализирует код почти так же хорошо, как модели ~70B. Она обучена на длину контекста 128K, но ее эффективная длина контекста ближе к 16K — это ограничение я наблюдал лично.

«2407» — это дата (июль 2024 года) в качестве номера версии. И должен сказать, я всеми руками «за» такую схему версионирования. Дата ясно показывает технологический уровень модели. Она хорошо сортируется. В прочих случаях версионирование LLM превращается в хаос. Как и в случае с открытым исходным кодом, где плохо с названиями, компании, работающие в сфере ИИ, не понимают, что такое версионирование.

  • Qwen2.5-14B [Apache 2.0]

Модели Qwen от Alibaba Cloud впечатляюще превосходят ожидания на любом масштабе. Вывод 14B начинается с 11 t/s, а возможности не уступают Mistral Nemo. Если бы я мог запустить 72B на своем компьютере, Qwen, скорее всего, стала бы моей моделью по умолчанию. Я пробовал ее через API инференса Hugging Face. Есть модель 32B, но она непрактична для моего компьютера, поэтому я не уделял ей много времени.

  • Gemma-2-2B

Модель Google популярна, возможно, из-за своего игривого характера. Для меня модель 2B отлично подходит для быстрого перевода. Невероятно, но факт: LLM практически вытеснили Google Translate, и вы можете запустить их на домашнем компьютере. Эта модель более ресурсоемкая и отказывается переводить тексты, которые считает оскорбительными. В моем скрипте для перевода я отправляю ей текст, размеченный HTML. Достаточно просто попросить Gemma сохранить разметку, и это работает! Модель 9B еще лучше, но медленнее, и я бы использовал ее вместо 2B для перевода своих собственных сообщений на другой язык.

  • Phi3.5-Mini (4B) [MIT]

Ниша Microsoft — обучение на искусственных данных. В результате получается модель, которая хорошо справляется с тестами, но не так хорошо работает на практике. Для меня ее сильная сторона — оценка документов. Я загружал в контекст документы объемом до 40 тысяч токенов (модель 4B это позволяет) и успешно получал точные резюме и списки данных.

  • SmolLM2-360M [Apache 2.0]

Hugging Face не просто размещает модели; их собственная модель 360M необычайно хороша для своего размера. Она помещается на моем ноутбуке 2008 года выпуска с 1 ГБ оперативной памяти, процессором Celeron и 32-битной операционной системой. Она также хорошо работает на старых Raspberry Pi. Она креативна, быстра, грамотно ведет беседу, может писать стихи. Это забавная игрушкой для ограниченного железа.

  • Mixtral-8x7B (48B) [Apache 2.0]

Еще одна модель от Mistral AI, скорее второго эшелона. 48B — вроде бы слишком много, но это модель Mixture of Experts (MoE). При выводе используется только 13B параметров одновременно. Она вполне подходит для инференса на CPU на компьютере с не менее чем 32 ГБ оперативной памяти. Модель сохраняет больше обучающих данных, больше похожа на базу данных, но по причинам, которые мы вскоре увидим, это не так полезно, как может показаться.

  • Llama-3.1-70B и Llama-3.1-Nemotron-70B

Еще модели, которые я не могу запустить сам, но к которым имею удаленный доступ. Последняя носит название «Nemo», потому что это тонкая настройка от Nvidia. Если бы я мог запускать модели 70B у себя, я, скорее всего, выбрал бы именно Nemotron. Мне нужно было бы потратить больше времени на сравнение ее с Qwen2.5-72B.

У большинства этих моделей есть облегченные или «нецензурированные» версии, в которых отказы частично устранены ценой ухудшения модели. Отказы раздражают — например, Gemma отказывается переводить тексты, которые ей не нравятся, — но это происходит недостаточно часто, чтобы я пошел на такой компромисс. А может быть, я просто зануда. Кроме того, похоже, что отказов становится меньше при увеличении контекста — «сказал "а", говори и "б"»!

Следующая группа — это модели «кодеров», обученные программированию. В частности, у них есть обучение fill-in-the-middle (FIM) для генерации кода внутри существующей программы. Чуть позже я расскажу, что это значит. Насколько я могу судить, они не справляются лучше ни с проверкой кода, ни с другими задачами, ориентированными на инструкции. Наоборот: обучение FIM проводится в базовой модели, а обучение инструкциям применяется позже поверх нее, поэтому инструкции работают против FIM! Другими словами, результаты FIM базовой модели заметно лучше, хотя вы теряете возможность общаться с ними.

Раздел об оценке будет позже, но сейчас я хочу отметить, что даже самые современные LLM производят посредственный код. Рейтинги здесь даны относительно других моделей, а не по общим возможностям.

  • DeepSeek-Coder-V2-Lite (16B)

Одноименная модель MoE от DeepSeek. Она использует 2B параметров при выводе, что делает ее такой же быстрой, как Gemma 2 2B, но такой же умной, как Mistral Nemo, что представляет собой отличный баланс, особенно потому, что она превосходит модели ~30B в генерации кода. Так что если мне хочется поэкспериментировать с FIM, я использую ее.

  • Qwen2.5-Coder-7B [Apache 2.0]

Qwen Coder, как говорится, дышит в спину предыдущей модели. Результат почти такой же хороший, но она немного медленнее, так как это не MoE. Лучше выбрать эту модель, а не DeepSeek, если у вас ограничена память. Во время написания этой статьи Alibaba Cloud выпустила версию Qwen2.5-Coder-7B, но не увеличила номер версии, что ужасно сбивает с толку. Сообщество стало называть ее Qwen2.5.1. Помните, что я говорил о компаниях, работающих с ИИ, и о версиях? (UPD: еще были выпущены модели кодеров 14B и 32B. Я попробовал обе, и ни одна из них не так хороша, как DeepSeek-Coder-V2-Lite, поэтому мой рейтинг остался неизменным).

  • Granite-8B-Code [Apache 2.0]

Линейка моделей IBM называется Granite. В целом модели Granite разочаровывают, за исключением того, что они необычайно хороши в FIM. По моему опыту, она делит второе место с Qwen2.5 7B.

Я также оценил CodeLlama, CodeGemma, Codestral и StarCoder. Их результаты FIM были так плохи, что оказались практически бесполезны для этой задачи, и я не нашел причин использовать эти модели. Негативные эффекты обучения инструкциям были наиболее выражены у CodeLlama.

Пользовательские интерфейсы

Я упоминал о встроенном пользовательском интерфейсе Llama.cpp, и я использовал подобные интерфейсы с другим программным обеспечением LLM. Как обычно, ни один пользовательский интерфейс мне не понравился, особенно в вопросах производительности, поэтому я создал свой собственный, Illume. Эта программа командной строки преобразует стандартный ввод в запрос API, выполняет запрос и передает ответ в стандартный вывод. Должно быть достаточно просто интегрировать в любой расширяемый текстовый редактор, но мне он понадобился только для Vim. Vimscript ужасен. Это, наверное, второй по бесполезности язык программирования, с которым я когда-либо сталкивался, поэтому моей целью было написать как можно меньше кода.

Я создал Illume, чтобы удовлетворить свои потребности и поддержать исследование экосистемы LLM. Я активно ломаю и добавляю функции по мере необходимости и не даю никаких обещаний относительно стабильности интерфейса. Вероятно, вы не захотите его использовать.

Строки, начинающиеся с !, являются директивами для Illume. Они выбраны из-за малой вероятности появления в обычном тексте. В буфере происходит чередование реплик !user и !assistant.

!user
Сочини хайку о путешественниках во времени в обличье лягушек.
!assistant
Green, leaping through time, [Зелёные, скачущие сквозь время]
Frog tongues lick the future's rim, [Языки лягушек касаются края грядущего]
Disguised in pond's guise. [Пруд — их маскировка].

Это всё ещё буфер текстового редактора, поэтому я могу отредактировать ответ ассистента, переформулировать свой изначальный запрос и т.д., прежде чем продолжить диалог. Для создания художественных текстов я могу попросить продолжить какой-либо отрывок (что не требует специального обучения):

!completion
Чародей Дин крался по тёмному замку

Я могу прервать генерацию, внести правки, добавить свой текст и продолжить. Пожалуй, мне стоит больше практиковаться в работе с этим инструментом. Если вы введёте синтаксис для заметок вне сюжета, LLM его распознает, и тогда вы сможете использовать такие заметки для управления процессом создания текста.

Хотя основной целью является llama.cpp, я обращаюсь к различным API, реализованным разными LLM-программами. Между API существуют несовместимости (параметр, необходимый для одного API, может быть запрещён в другом), поэтому директивы должны быть гибкими и мощными. Таким образом, директивы могут задавать любые параметры HTTP и JSON. Illume не пытается абстрагировать API, а предоставляет доступ к нему на низком уровне, поэтому для эффективного использования необходимо знание удалённого API. Например, «профиль» для взаимодействия с llama.cpp выглядит так:

!api http://localhost:8080/v1
!:cache_prompt true

Где cache_prompt — это специфичный для llama.cpp JSON-параметр (!:). Кэширование промптов почти всегда лучше включать, но по какой-то причине оно отключено по умолчанию. Другие API отклоняют запросы с этим параметром, поэтому мне приходится его опускать или отключать иным способом. «Профиль» Hugging Face выглядит так:

!api https://api-inference.huggingface.co/models/{model}/v1
!:model Qwen/Qwen2.5-72B-Instruct
!>x-use-cache false

Для удобства работы с HF, Illume может встраивать JSON-параметры в URL. API HF также агрессивно использует кэширование. Мне это не нужно, поэтому я задаю HTTP-параметр (!>), чтобы отключить его.

Уникальная особенность llama.cpp — конечная точка /infill для FIM. Она требует модель с дополнительными метаданными, обученную определённым образом, но обычно этого не происходит. Поэтому, хотя Illume может использовать /infill, я также добавил конфигурацию FIM. Теперь, изучив документацию модели и настроив Illume под её FIM-поведение, я могу выполнять FIM-завершение через обычный API завершения на любой FIM-обученной модели, даже в API, не связанных с llama.cpp.

Токены Fill-in-the-Middle (FIM)

Пора поговорить о FIM. Чтобы докопаться до его сути, мне пришлось обратиться к первоисточнику — оригинальной статье о FIM: Efficient Training of Language Models to Fill in the Middle. Это позволило мне понять, как эти модели обучаются FIM, по крайней мере, достаточно для того, чтобы применить это обучение на практике. Тем не менее, документация по моделям обычно скудна в отношении FIM, поскольку разработчики ждут, что вы будете использовать их код.

В конечном счёте, LLM может только предсказывать следующий токен. Поэтому выберите несколько специальных токенов, которых нет во входных данных, используйте их для разграничения префикса, суффикса и середины (PSM) — или иногда суффикса, префикса и середины (SPM) — в большом обучающем корпусе. Позже при выводе мы можем использовать эти токены, чтобы задать префикс, суффикс и позволить модели «предсказать» середину. Звучит безумно, но это действительно работает!

<PRE>{prefix}<SUF>{suffix}<MID>

Например, при заполнении скобок в выражении dist = sqrt(x*x + y*y):

<PRE>dist = sqrt(<SUF>)<MID>x*x + y*y

Чтобы LLM заполнила скобки, мы остановимся на <MID> и позволим LLM продолжить предсказание. Обратите внимание, что <SUF> по сути является курсором. Кстати, именно так работает обучение с инструкциями, но вместо префикса и суффикса специальные токены разграничивают инструкции и диалог.

Некоторые специалисты по LLM интерпретируют статью буквально и используют <PRE> и так далее для своих FIM-токенов, хотя они совсем не похожи на другие специальные токены. Более вдумчивые разработчики выбирают <|fim_prefix|> и т.п. Illume принимает шаблоны FIM, и я написал шаблоны для популярных моделей. Например, вот шаблон для Qwen (PSM):

<|fim_prefix|>{prefix}<|fim_suffix|>{suffix}<|fim_middle|>

Mistral AI предпочитает квадратные скобки, SPM и отсутствие токена «middle»:

[SUFFIX]{suffix}[PREFIX]{prefix}

С помощью этих шаблонов я смог использовать FIM-обучение в моделях, не поддерживаемых API /infill llama.cpp.

Помимо неудачных промптов, самая большая проблема, с которой я столкнулся в FIM, — это то, что LLM не знают, когда нужно остановиться. Например, если я попрошу заполнить эту функцию (т.е. присвоить что-то r):

def norm(x: float, y: float) -> float):
return r

(Примечание: статическая типизация, включая приведённые здесь подсказки, улучшает результаты работы LLM, выступая в роли ограничителей). Нередко можно получить что-то вроде:

def norm(x: float, y: float) -> float):
r = sqrt(x*x + y*y)
return r
def norm3(x: float, y: float, z: float) -> float):
r = sqrt(x*x + y*y + z*z)
return r
def norm4(x: float, y: float, z: float, w: float) -> float):
r = sqrt(x*x + y*y + z*z + w*w)
return r

Где изначальное return r стало возвратом для norm4. Технически это соответствует запросу, но явно не то, что мне нужно. Поэтому будьте готовы нажать кнопку «стоп», когда генерация выйдет из-под контроля. Три рекомендованные мной модели для программирования ведут себя так реже. Возможно, было бы надёжнее объединить это с системой, не основанной на LLM, которая семантически понимает код и автоматически останавливает генерацию, когда LLM начинает создавать токены в более высокой области видимости. Это сделало бы жизнеспособными больше моделей для программирования, но это выходит за рамки моих экспериментов.

Разобравшись с FIM и применив его на практике, я понял, что он всё ещё находится на ранней стадии развития, и с его помощью почти никто не генерирует код. Полагаю, все просто используют обычное автодополнение?

Так для чего же нужны LLM?

LLM — это интересно, но каково их практическое применение? Я пытался ответить на этот вопрос в течение последнего месяца, и результат оказался скромнее, чем я надеялся. Возможно, полезно установить границы — задачи, которые LLM определённо не могут выполнить.

Во-первых, LLM бесполезны, если правильность их результатов нельзя легко проверить. Они ненадёжны и склонны к галлюцинациям. Часто, если вы в состоянии проверить результат работы LLM, вам он изначально и не был нужен. Вот почему Mixtral с его обширной «базой знаний» не так уж полезен. Это также означает, что включать результаты работы LLM в поисковую выдачу безответственно и опрометчиво — попросту непрофессионально.

Энтузиасты LLM, которые должны бы знать лучше, всё равно попадаются в эту ловушку и распространяют галлюцинации. Это делает обсуждения LLM менее надёжными, чем обычно, и мне приходится подходить к информации о LLM с дополнительным скептицизмом. Пример: вспомните, что у «GGUF» нет авторитетного определения. Если поискать его, можно найти явную галлюцинацию, которая попала даже в официальную документацию IBM. Я не буду повторять её здесь, чтобы не усугублять ситуацию.

Во-вторых, у LLM рабочая память как у рыбки. То есть их ограничивает небольшая длина контекста. Некоторые модели обучаются на больших контекстах, но их эффективная длина контекста обычно намного меньше. На практике LLM может одновременно «держать в голове» объём информации, равный нескольким главам книги. Для кода это 2-3 тысячи строк (код очень плотный в плане токенов). Это максимум, с чем можно работать одновременно. По сравнению с человеком, это крошечный объём. Существуют инструменты вроде генерации ответа, дополненной результатами поиска, и тонкой настройки, чтобы смягчить эту проблему... немного.

В-третьих, LLM — плохие программисты. В лучшем случае они пишут код на уровне студента, который прочитал много документации. Это звучит лучше, чем есть на самом деле. Типичный выпускник приходит на работу, практически ничего не зная о разработке программного обеспечения. Первый день на работе — это начало их настоящего образования. В этом смысле современные языковые модели еще даже не приступили к обучению.

Надо отдать им должное, то, как хорошо работают языковые модели, просто поразительно! Столкнувшись с программой, написанной в моем нестандартном стиле, языковые модели разбираются в ней и используют специальные интерфейсы. (Уточню: мой код и тексты входят в обучающие данные большинства этих моделей). Поэтому чем больше контекста, тем лучше — в пределах эффективной длины контекста. Главная задача — получить от языковой модели что-то полезное быстрее, чем написать это самому.

Написание нового кода — это самая легкая часть. Самое сложное — поддерживать код и писать новый, учитывая необходимость его дальнейшего сопровождения. Даже когда языковая модель создает работающий код, она не думает о его дальнейшем сопровождении, да и не может об этом думать. В целом, надежность генерируемого кода обратно пропорциональна квадрату его длины, и генерация более десятка строк за раз чревата проблемами. Я очень старался, но никогда не видел, чтобы языковая модель выдавала более 2-3 строк кода, которые я бы счел приемлемыми.

Качество существенно зависит от языка программирования. Языковые модели лучше справляются с Python, чем с C, и лучше с C, чем с ассемблером. Полагаю, это связано со сложностью языка и качеством обучающих данных. Модель обучалась на огромном количестве ужасного кода на C — в конце концов, интернет им переполнен, — а единственный размеченный ассемблерный код x86, который она видела, вероятно, из плохих учебников для начинающих. Попросите ее использовать SDL2, и она неизменно допустит типичные ошибки, потому что ее так обучили.

А как насчет шаблонного кода? Это то, что языковая модель, вероятно, может сделать с низким уровнем ошибок, и в этом может быть польза. Хотя самый быстрый способ справиться с шаблонным кодом — вообще его не писать. Измените задачу так, чтобы она его не требовала.

Не принимая мои слова на веру, подумайте, как это отражается в экономике: если бы компании, разрабатывающие ИИ, могли обеспечить заявленный рост производительности, они бы не продавали ИИ. Они бы оставили его себе и поглотили всю индустрию программного обеспечения. Или посмотрите на программные продукты, созданные компаниями на переднем крае ИИ. Это все тот же старый, раздутый веб-мусор, который создают все остальные. (Мои исследования языковых моделей включали навигацию по их ужасным сайтам, которые меня очень разочаровали.)

При генерации кода галлюцинации менее проблематичны. Вы уже знали, чего хотите, когда задавали вопрос, поэтому можете проверить результат, а компилятор поможет выявить проблемы, которые вы пропустили (например, вызов несуществующего метода). Однако ограниченный контекст и низкое качество генерации кода остаются препятствиями, и мне пока не удалось добиться эффективной работы в этой области.

Так что же можно делать с языковыми моделями? Уместно будет дать здесь список, ведь языковые модели любят списки:

  • Для меня наиболее полезной оказалась вычитка текстов. Я даю модели документ, например, электронное письмо или эту статью (около 8000 токенов), прошу проверить грамматику, выделить пассивный залог и так далее, а также предложить изменения. Я принимаю или отвергаю ее предложения и двигаюсь дальше. Большинство предложений будут неудачными, и даже модели с ~70 миллиардами параметров предлагали для этой длинной статьи изменения в несуществующих предложениях. Тем не менее, в этом шуме есть полезный сигнал, и это укладывается в рамки описанных выше ограничений. Я все еще пытаюсь применить этот подход ( «пожалуйста, найди ошибки») к проверке кода, но пока успех ускользает.

  • Написание короткой художественной прозы. Галлюцинации здесь не проблема, а необходимость! Ограничивающим фактором является длина контекста, хотя, возможно, ее можно увеличить, предоставляя краткое содержание глав, также написанное языковой моделью. Я все еще исследую эту возможность. Если вам лень, попросите модель предложить три возможных сюжетных поворота на каждом этапе, а вы выберете самый интересный. Или даже попросите ее объединить два из них! Языковые модели сообразительны и справятся с этим. Некоторые жанры работают лучше других, а конкретика лучше абстракций. (Интересно, оценивают ли профессиональные писатели ее тексты так же низко, как я оцениваю ее программирование).

  • Генерация развлекательных текстов. Поспорьте с Бенджамином Франклином (примечание: это, вероятно, нарушает правила использования некоторых моделей), пообщайтесь с персонажем из любимой книги или создайте новую сцену с хвастливыми выходками Фальстафа. Общение с историческими личностями оказалось познавательным: персонаж говорит что-то неожиданное, я проверяю это по старинке и узнаю что-то новое.

  • Перевод с одного языка на другой. Я просматривал иноязычные форумы, переводя их с помощью Gemma-2-2B, и это было познавательно. (Я и не подозревал, что немцы так недоверчиво относятся к искусственным подсластителям).

Несмотря на короткий список полезных применений, эта технология вызвала у меня наибольший восторг за последние годы!

Источник

  • 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

    Web-site. https://trustgeekshackexpert.com/ Tele-Gram, trustgeekshackexpert During the pandemic, I ventured into the world of cryptocurrency trading. My father loaned me $10,000, which I used to purchase my first bitcoins. With diligent research and some luck, I managed to grow my investment to over $350,000 in just a couple of years. I was thrilled with my success, but my excitement was short-lived when I decided to switch brokers and inadvertently fell victim to a phishing attack. While creating a new account, I received what seemed like a legitimate email requesting verification. Without second-guessing, I provided my information, only to realize later that I had lost access to my email and cryptocurrency wallets. Panic set in as I watched my hard-earned assets disappear before my eyes. Desperate to recover my funds, I scoured the internet for solutions. That's when I stumbled upon the Trust Geeks Hack Expert on the Internet. The service claimed to specialize in recovering lost crypto assets, and I decided to take a chance. Upon contacting them, the team swung into action immediately. They guided me through the entire recovery process with professionalism and efficiency. The advantages of using the Trust Geeks Hack Expert Tool became apparent from the start. Their team was knowledgeable and empathetic, understanding the urgency and stress of my situation. They employed advanced security measures to ensure my information was handled safely and securely. One of the key benefits of the Trust Geeks Hack Expert Tool was its user-friendly interface, which made a complex process much more manageable for someone like me, who isn't particularly tech-savvy. They also offered 24/7 support, so I never felt alone during recovery. Their transparent communication and regular updates kept me informed and reassured throughout. The Trust Geeks Hack Expert Tool is the best solution for anyone facing similar issues. Their swift response, expertise, and customer-centric approach set them apart from other recovery services. Thanks to their efforts, I regained access to my accounts and my substantial crypto assets. The experience taught me a valuable lesson about online security and showed me the incredible potential of the Trust Geeks Hack Expert Tool. Email:: trustgeekshackexpert{@}fastservice{.}com WhatsApp  + 1.7.1.9.4.9.2.2.6.9.3

  • 26.06.24 18:46 Jacobethannn098

    LEGAL RECOUP FOR CRYPTO THEFT BY ADRIAN LAMO HACKER

  • 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

    In 2020, amidst the economic fallout of the pandemic, I found myself unexpectedly unemployed and turned to Forex trading in hopes of stabilizing my finances. Like many, I was drawn in by the promise of quick returns offered by various Forex robots, signals, and trading advisers. However, most of these products turned out to be disappointing, with claims that were far from reality. Looking back, I realize I should have been more cautious, but the allure of financial security clouded my judgment during those uncertain times. Amidst these disappointments, Profit Forex emerged as a standout. Not only did they provide reliable service, but they also delivered tangible results—a rarity in an industry often plagued by exaggerated claims. The positive reviews from other users validated my own experience, highlighting their commitment to delivering genuine outcomes and emphasizing sound financial practices. My journey with Profit Forex led to a net profit of $11,500, a significant achievement given the challenges I faced. However, my optimism was short-lived when I encountered obstacles trying to withdraw funds from my trading account. Despite repeated attempts, I found myself unable to access my money, leaving me frustrated and uncertain about my financial future. Fortunately, my fortunes changed when I discovered PRO WIZARD GIlBERT RECOVERY. Their reputation for recovering funds from fraudulent schemes gave me hope in reclaiming what was rightfully mine. With a mixture of desperation and cautious optimism, I reached out to them for assistance. PRO WIZARD GIlBERT RECOVERY impressed me from the start with their professionalism and deep understanding of financial disputes. They took a methodical approach, using advanced techniques to track down the scammers responsible for withholding my funds. Throughout the process, their communication was clear and reassuring, providing much-needed support during a stressful period. Thanks to PRO WIZARD GIlBERT RECOVERY's expertise and unwavering dedication, I finally achieved a resolution to my ordeal. They successfully traced and retrieved my funds, restoring a sense of justice and relief. Their intervention not only recovered my money but also renewed my faith in ethical financial services. Reflecting on my experience, I've learned invaluable lessons about the importance of due diligence and discernment in navigating the Forex market. While setbacks are inevitable, partnering with reputable recovery specialists like PRO WIZARD GIlBERT RECOVERY can make a profound difference. Their integrity and effectiveness have left an indelible mark on me, guiding my future decisions and reinforcing the value of trustworthy partnerships in achieving financial goals. I wholeheartedly recommend PRO WIZARD GIlBERT RECOVERY to anyone grappling with financial fraud or disputes. Their expertise and commitment to client satisfaction are unparalleled, offering a beacon of hope in challenging times. Thank you, PRO WIZARD GIlBERT RECOVERY, for your invaluable assistance in reclaiming what was rightfully mine. Your service not only recovered my funds but also restored my confidence in navigating the complexities of financial markets with greater caution and awareness. Email: prowizardgilbertrecovery(@)engineer.com Homepage: https://prowizardgilbertrecovery.xyz WhatsApp: +1 (516) 347‑9592

  • 17.07.24 02:26 thompsonrickey

    In the vast and often treacherous realm of online investments, I was entangled in a web of deceit that cost me nearly  $45,000. It all started innocuously enough with an enticing Instagram profile promising lucrative returns through cryptocurrency investment. Initially, everything seemed promising—communications were smooth, and assurances were plentiful. However, as time passed, my optimism turned to suspicion. Withdrawal requests were met with delays and excuses. The once-responsive "investor" vanished into thin air, leaving me stranded with dwindling hopes and a sinking feeling in my gut. It became painfully clear that I had been duped by a sophisticated scheme designed to exploit trust and naivety. Desperate to recover my funds, I turned to online forums where I discovered numerous testimonials advocating for Muyern Trust Hacker. With nothing to lose, I contacted them, recounting my ordeal with a mixture of skepticism and hope. Their swift response and professional demeanor immediately reassured me that I had found a lifeline amidst the chaos. Muyern Trust Hacker wasted no time in taking action. They meticulously gathered evidence, navigated legal complexities, and deployed their expertise to expedite recovery. In what felt like a whirlwind of activity, although the passage of time was a blur amidst my anxiety, they achieved the seemingly impossible—my stolen funds were returned. The relief I felt was overwhelming. Muyern Trust Hacker not only restored my financial losses but also restored my faith in justice. Their commitment to integrity and their relentless pursuit of resolution were nothing short of remarkable. They proved themselves as recovery specialists and guardians against digital fraud, offering hope to victims like me who had been ensnared by deception. My gratitude knows no bounds for Muyern Trust Hacker. Reach them at muyerntrusted @ m a i l - m e . c o m AND Tele gram @ muyerntrusthackertech

  • 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]

    If You Need Hacker To Recover Your Bitcoin Contact Paradox Recovery Wizard Paradox Recovery Wizard successfully recovered $123,000 worth of Bitcoin for my husband, which he had lost due to a security breach. The process was efficient and secure, with their expert team guiding us through each step. They were able to trace and retrieve the lost cryptocurrency, restoring our peace of mind and financial stability. Their professionalism and expertise were instrumental in recovering our assets, and we are incredibly grateful for their service. Email: support@ paradoxrecoverywizard.com Email: paradox_recovery @cyberservices.com Wep: https://paradoxrecoverywizard.com/ WhatsApp: +39 351 222 3051.

  • 06.09.24 01:35 Celinagarcia

    HOW TO RECOVER MONEY LOST IN BITCOIN/USDT TRADING OR TO CRYPTO INVESTMENT !! Hi all, friends and families. I am writing From Alberton Canada. Last year I tried to invest in cryptocurrency trading in 2023, but lost a significant amount of money to scammers. I was cheated of my money, but thank God, I was referred to Hack Recovery Wizard they are among the best bitcoin recovery specialists on the planet. they helped me get every penny I lost to the scammers back to me with their forensic techniques. and I would like to take this opportunity to advise everyone to avoid making cryptocurrency investments online. If you ​​​​​​have already lost money on forex, cryptocurrency or Ponzi schemes, please contact [email protected] or WhatsApp: +1 (757) 237–1724 at once they can help you get back the crypto you lost to scammers. BEST WISHES. Celina Garcia.

  • 06.09.24 01:44 Celinagarcia

    HOW TO RECOVER MONEY LOST IN BITCOIN/USDT TRADING OR TO CRYPTO INVESTMENT !! Hi all, friends and families. I am writing From Alberton Canada. Last year I tried to invest in cryptocurrency trading in 2023, but lost a significant amount of money to scammers. I was cheated of my money, but thank God, I was referred to Hack Recovery Wizard they are among the best bitcoin recovery specialists on the planet. they helped me get every penny I lost to the scammers back to me with their forensic techniques. and I would like to take this opportunity to advise everyone to avoid making cryptocurrency investments online. If you ​​​​​​have already lost money on forex, cryptocurrency or Ponzi schemes, please contact [email protected] or WhatsApp: +1 (757) 237–1724 at once they can help you get back the crypto you lost to scammers. BEST WISHES. Celina Garcia.

  • 16.09.24 00:10 marcusaustin

    Bitcoin Recovery Services: Restoring Lost Cryptocurrency If you've lost access to your cryptocurrency and unable to make a withdrawal, I highly recommend iBolt Cyber Hacker Bitcoin Recovery Services. Their team is skilled, professional, and efficient in recovering lost Bitcoin. They provide clear communication, maintain high security standards, and work quickly to resolve issues. Facing the stress of lost cryptocurrency, iBolt Cyber Hacker is a trusted service that will help you regain access to your funds securely and reliably. Highly recommended! Email: S u p p o r t @ ibolt cyber hack . com Cont/Whtp + 3. .9 .3. .5..0. .9. 2. 9. .0 .3. 1 .8. Website: h t t p s : / / ibolt cyber hack . com /

  • 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

    The growth of WIN44 in Brazil is very interesting! If you're looking for more options for online betting and casino games, I recommend checking out Casinos in Brazil. It's a reliable platform that offers a wide variety of games and provides a safe and enjoyable experience for users. It's worth checking out! https://win44.vip

  • 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

    In the world of Bitcoin recovery, Pro Wizard Gilbert truly represents the gold standard. My experience with Gilbert revealed just how exceptional his methods are and why he stands out as the premier authority in this critical field. When I first encountered the complexities of Bitcoin recovery, I was daunted by the technical challenges and potential risks. Gilbert’s approach immediately distinguished itself through its precision and effectiveness. His methods are meticulously designed, combining cutting-edge techniques with an in-depth understanding of the Bitcoin ecosystem. He tackled the recovery process with a level of expertise and thoroughness that was both impressive and reassuring. What sets Gilbert’s methods apart is not just their technical sophistication but also their strategic depth. He conducts a comprehensive analysis of each case, tailoring his approach to address the unique aspects of the situation. This personalized strategy ensures that every recovery effort is optimized for success. Gilbert’s transparent communication throughout the process was invaluable, providing clarity and confidence during each stage of the recovery. The results I achieved with Pro Wizard Gilbert’s methods were remarkable. His gold standard approach not only recovered my Bitcoin but did so with an efficiency and reliability that exceeded my expectations. His deep knowledge, innovative techniques, and unwavering commitment make him the definitive expert in Bitcoin recovery. For anyone seeking a benchmark in Bitcoin recovery solutions, Pro Wizard Gilbert’s methods are the epitome of excellence. His ability to blend technical prowess with strategic insight truly sets him apart in the industry. Call: for help. You may get in touch with them at ; Email: (prowizardgilbertrecovery(@)engineer.com) Telegram ; https://t.me/Pro_Wizard_Gilbert_Recovery Homepage ; https://prowizardgilbertrecovery.info

  • 12.11.24 00:50 TERESA

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  • 17.11.24 09:31 Vivianlocke223

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  • 18.01.25 12:41 michaeldavenport218

    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] Capital Crypto Recover on Telegram OR Call Number +1 (336)390-6684 via email: [email protected]

  • 18.01.25 12:41 michaeldavenport218

    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] Capital Crypto Recover on Telegram OR Call Number +1 (336)390-6684 via email: [email protected]

  • 20.01.25 15:39 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. You can reach them via email at [email protected] OR Call/Text Number +1 (336)390-6684 his contact: [email protected]

  • 22.01.25 21:43 DoraJaimes23

    Recovery expert. I lost my bitcoin to fake blockchain impostors on Facebook, they contacted me as blockchain official support and i fell stupidly for their mischievous act, this made them gain access into my blockchain wallet whereby 7.0938 btc was stolen from my wallet in total .I was almost in a comma and dumbfounded because this was all my savings i relied on . Then I made a research online and found a recovery expert , with the contact address- { RECOVERYHACKER101 (@) GMAIL . COM }... I wrote directly to the specialist explaining my loss. Hence, he helped me recover a significant part of my investment just after 2 days he helped me launch the recovery program , and the culprits were identified as well , all thanks to his expertise . I hope I have been able to help someone as well . Reach out to the recovery specialist to recover you lost funds from any form of online scam Thanks

  • 23.01.25 02:36 [email protected]

    After falling victim to a fraudulent Bitcoin mining scam, I found myself in a desperate situation. I had invested $50,000 into a cloud mining website called Miningpool, which turned out to be a complete scam. For months, I tried reaching out to the company, but I was unable to access my funds, and I quickly realized I had been taken for a ride. In my search for help, I came across TrustGeeks Hack Expert, a service that claimed to help people recover lost funds from crypto scams. Though skeptical at first, I decided to give them a try. Here’s my experience with their service.When I initially contacted TrustGeeks Hack Expert Email.. Trustgeekshackexpert{At}fastservice{Dot}com , I was understandably hesitant. Like many others, I had been tricked into believing my Bitcoin investments were legitimate, only to discover they were locked in a non-spendable wallet with no way of accessing them. However, after sharing my story and details about the scam, the team assured me they had handled similar cases and had the expertise to help. They requested basic information about my investment and began their investigation immediately. The recovery process was nothing short of professional. Unlike many other services that promise quick fixes but fail to deliver, TrustGeeks Hack Expert kept me informed at every stage. They regularly updated me on their progress and were completely transparent about the challenges they faced. There were moments when I wondered if the process would work, but the team’s professionalism and reassurance gave me hope. They were honest about the time it would take and did not make any unrealistic promises, which I truly appreciated. After several weeks of work, TrustGeeks Hack Expert successfully recovered not just my $50,000 investment, but also the so-called profits that had been locked away in the scam's non-spendable wallet. This was a huge relief, as I had resigned myself to the idea that I had lost everything. The entire recovery process was discreet and handled with the utmost care, ensuring that the scam company remained unaware of the recovery efforts, which helped prevent further complications. TeleGram iD. Trustgeekshackexpert & What's A p p +1 7 1 9 4 9 2 2 6 9 3

  • 23.01.25 02:37 [email protected]

    After falling victim to a fraudulent Bitcoin mining scam, I found myself in a desperate situation. I had invested $50,000 into a cloud mining website called Miningpool, which turned out to be a complete scam. For months, I tried reaching out to the company, but I was unable to access my funds, and I quickly realized I had been taken for a ride. In my search for help, I came across TrustGeeks Hack Expert, a service that claimed to help people recover lost funds from crypto scams. Though skeptical at first, I decided to give them a try. Here’s my experience with their service.When I initially contacted TrustGeeks Hack Expert Email.. Trustgeekshackexpert{At}fastservice{Dot}com , I was understandably hesitant. Like many others, I had been tricked into believing my Bitcoin investments were legitimate, only to discover they were locked in a non-spendable wallet with no way of accessing them. However, after sharing my story and details about the scam, the team assured me they had handled similar cases and had the expertise to help. They requested basic information about my investment and began their investigation immediately. The recovery process was nothing short of professional. Unlike many other services that promise quick fixes but fail to deliver, TrustGeeks Hack Expert kept me informed at every stage. They regularly updated me on their progress and were completely transparent about the challenges they faced. There were moments when I wondered if the process would work, but the team’s professionalism and reassurance gave me hope. They were honest about the time it would take and did not make any unrealistic promises, which I truly appreciated. After several weeks of work, TrustGeeks Hack Expert successfully recovered not just my $50,000 investment, but also the so-called profits that had been locked away in the scam's non-spendable wallet. This was a huge relief, as I had resigned myself to the idea that I had lost everything. The entire recovery process was discreet and handled with the utmost care, ensuring that the scam company remained unaware of the recovery efforts, which helped prevent further complications. TeleGram iD. Trustgeekshackexpert & What's A p p +1 7 1 9 4 9 2 2 6 9 3

  • 23.01.25 14:20 nellymargaret

    DUNAM CYBER SOLUTION BTC-ETH RECOVERY EXPERT

  • 23.01.25 14:20 nellymargaret

    DUNAM CYBER SOLUTION BTC-ETH RECOVERY EXPERT I had tried to secure my Bitcoin wallet, maybe a bit too aggressively, enabling every security feature imaginable: two-factor authentication, biometric verification, intricate passwords-the whole shebang. I wanted to make it impossible for anybody to get to my money. I tried to make this impregnable fortress of security and ended up locking myself out of my wallet with $700,000 in Bitcoin. It wasn't until I tried to access my wallet that I realized the trap I had set for myself. I was greeted with an endless series of security checks-passwords, codes, facial recognition, and more. I could remember parts of my multi-layered security setup but not enough to actually get in. In fact, my money was behind this digital fortress, and the more I tried to fix it, the worse it seemed to get. I kept tripping over my own layers of protection, unable to find a way back in. Panic quickly set in when I realized I had made it almost impossible for myself to access my own money. That is when I called DUNAMIS CYBER SOLUTION From that very first call, they reassured me that I wasn't the first person to make this kind of mistake and certainly wouldn't be the last. They listened attentively to my explanation and got to work straight away. Their team methodically began to untangle my overly complicated setup. Patience and expertise managed to crack each layer of security step by step until they had restored access to my wallet. [email protected] +13433030545 [email protected]

  • 26.01.25 03:54 [email protected]

    Losing access to my crypto wallet account was one of the most stressful experiences ever. After spending countless hours building up my portfolio, I suddenly found myself locked out of my account without access. To make matters worse, the email address I had linked to my wallet was no longer active. When I tried reaching out, I received an error message stating that the domain was no longer in use, leaving me in complete confusion and panic. It was as though everything I had worked so hard for was gone, and I had no idea how to get it back. The hardest part wasn’t just the loss of access it was the feeling of helplessness. Crypto transactions are often irreversible, and since my wallet held significant investments, the thought that my hard-earned money could be lost forever was incredibly disheartening. I spent hours scouring forums and searching for ways to recover my funds, but most of the advice seemed either too vague or too complicated to be of any real help. With no support from the wallet provider and my email account out of reach, I was left feeling like I had no way to fix the situation.That’s when I found out about Trust Geeks Hack Expert . I was hesitant at first, but after reading about their expertise in recovering lost crypto wallets, I decided to give them a try. I reached out to their team, and from the very beginning, they were professional, understanding, and empathetic to my situation. They quickly assured me that there was a way to recover my wallet, and they got to work immediately.Thanks to Trust Geeks Hack Expert , my wallet and funds were recovered, and I couldn’t be more grateful. The process wasn’t easy, but their team guided me through each step with precision and care. The sense of relief I felt when I regained access to my crypto wallet and saw my funds safely back in place was indescribable. If you find yourself in a similar situation, I highly recommend reaching out to Trust Geeks Hack Expert. contact Them through EMAIL: [email protected] + WEBSITE. HTTPS://TRUSTGEEKSHACKEXPERT.COM + TELE GRAM: TRUSTGEEKSHACKEXPERT

  • 28.01.25 21:48 [email protected]

    It’s unfortunate that many people have become victims of scams, and some are facing challenges accessing their Bitcoin wallets. However, there's excellent news! With Chris Wang, you can count on top-notch service that guarantees results in hacking. We have successfully helped both individuals and organizations recover lost files, passwords, funds, and more. If you need assistance, don’t hesitate—check out recoverypro247 on Google Mail! What specific methods does Chris Wang use to recover lost funds and passwords? Are there any guarantees regarding the success rate of the recovery services offered? What are the initial steps to begin the recovery process with recoverypro247? this things i tend to ask

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