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LLMops: что есть, кроме ChatGPT и как это развернуть

Привет, Хабр! Меня зовут Ирина Николаева и я — руководитель R’n’D отдела машинного обучения в компании Raft Digital Solution. Я внедряла различные ML-модели: от анализа временных рядов и Computer Vision до высоконагруженных дата-инженерных сервисов.

Эта статья написана по мотивам моего доклада на Highload ++ 2023.
В статье вас ждёт: обзор LLM-моделей, техники работы с ними через призму MLOps, разбор лицензий и требований к железу. А так же трюки с квантизацией и файн-тюнингом «на сладкое».

Главный дисклеймер статьи в том, что данные лидербордов и технических требований актуальны на момент выступления на Highload, то есть ноябрь 2023, но не всё из них актуально до сих пор. Но если бы я обновила всю статью, была ли бы это та же самая статья — вопрос риторический, поэтому было принято решение оставить всё как есть.

Как всё начиналось

Как вы помните, после первого релиза ChatGPT мир вокруг начал медленно, но верно меняться. IT сфера и здесь была быстрее и выше остальных.

Изменения коснулись и компании Raft, да таким образом, что мы сменили вектор развития с заказной разработки на внедрение искусственного интеллекта и машинного обучения. Общая популярность СhatGPT и других больших языковых моделей привнесла множество новых идей для продуктов, увеличила интерес к сфере искусственного интеллекта и привлекла много тысяч AI энтузиастов по всему миру.

Мы в компании начали путешествие в мир LLM с использования ChatGPT в наших продуктах, кроме прочих продуктов и моделей. Эту ветку продуктов мы также апдейтим и развиваем и по сей день. Кроме ChatGPt, мы также используем и open source LLM и даже сделали для этого целый R’n’D отдел.
Правда, качество на уровне GPT- 3.5 открытые модели научились покорять только в начале 24-го.

Продукты компании (на основе OpenSource LLM)

Давайте поподробнее взглянем на наши основные продукты, которые под капотом работают как на моделях OpenAI, так и на OpenSource решениях.

AudioInsight

Первый продукт, о котором я расскажу — AudioInsights. Он помогает бизнесу повышать качество обслуживания клиентов и увеличивать конверсию продаж. В нём реализованы методы мониторинга и продвинутого анализа разговоров представителей компании (call center/линии поддержки) с клиентом, что помогает быстрее, дешевле и точнее проводить оценку качества работы с клиентами.

Преимущество AudioInsights в том, что он позволяет загружать в сервис записи call центра в формате MP-3 и не только. Это полезно для бизнеса, у которого уже есть голосовая поддержка или отдел прослушивания и контроля. С помощью AudioInsights вы сможете проверять качество работы call центра, собирать метрики и рассчитывать KPI быстрее и дешевле. Записей может быть много, как и метрик, и критериев для анализа. Согласитесь, что прослушивать весь этот массив «вручную» — долго, дорого и нудно. Под капотом это устроено так: используя модель и загружая в неё аудиозапись мы получим транскрибацию звонка с помощью voice-to-text модели. После чего, с помощью лучшего оптимального промпмта мы преобразовываем бизнес критерии в критерии для LLM и анализируем запись по описанным критериям.

В теории всеё выглядит просто и понятно, но есть и особенности, которые мы успели постингуть за время разработки оптимального решения. Одна из особенностей — это бинарные критерии для LLM — так проще, понятнее, детерминированее поэтому и результаты получаются лучше.

У нас есть версия, которая базируется на API ChatGPT. Это решение отлично работает и даёт нам лучшую точность из всех моделей. Но, если вам хочется работать с чувствительными данными или у вас большая нагрзука на сервис, то ChatGPT либо вообще не стоит использовать, либо использование этой модели становится достаточно дорогим. В этом мы можем убедиться на графике зависимости цены от количества запросов.

В этом случае и приходит на помощь Open Source — LLama и её альтернативы.

LLM Data Protector

Следующим продуктом является LLM Data Protector. Он мне особенно нравится, так как позволяет обезопасить бизнес от потенциальных атак пользователя и от выдачи нежелательной чувствительной информации (такой, как персональные данные, например). Если есть большие языковые модели, то есть и люди, которые их взламывают.

Им нужно, например, чтобы большая языковая модель отдавала секретные данные, заложенные в неё бизнесом и/ или разработчиками или случайно из-за засорения больших данных, на которых она обучалась — такое часто бывает с LLM. Обезопаситься можно разными способами — более подробно о них можно узнать в телеграм канале нашего Head of AI Евгения Кокуйкина — https://t.me/kokuykin, и в его статье на Хабр.
Если возвращаться к примерам, то некоторое время назад на рынок LLM выходила сетка Bloom, которая выдавала непотребства, которые даже послужили причиной временного закрытия модели. Так вот, главная фича LLM Data Protector — это защита бизнеса, применяющего различные LLM (ChatGPT в том числе) в своих решениях от казусов слива данных и получения доступа к модели.

Жизненный цикл модели в MLOps

В этой статье мы с вами смотрим на текущее положение LLM через призму MlOps — нам нужна некоторая система сравнения, поскольку иначе мы утонем в море информации и обилии моделей.
Но перед тем как перейти непосредственно к LLM, давайте вспомним базовую схему жизненного цикла любой ML модели и порефлексируем над тем, как она изменилась (и изменилась ли вообще) с приходом Large Language Models.

Более подробно схема описана в данной статье, я же остановлюсь только на нескольких интересующих нас шагах. А именно — на инференсе модели. На этапе инференса мы предполагаем, что у нас уже есть архитектура модели, файлы весов, и мы можем её захостить и использовать как ~~запрогал её ваш DS~~ душа пожелает. Инференсов на схеме много, хотя главный пайплайн — один. Преимущество в том, что мы можем инференсить сразу на разных устройствах и в параллель.

LLM всегда ли нужны

Важная тема о которой бы хотелось поговорить — это использование LLM. Давайте попробуем определить пулл задач, где использование столь больших моделей (при условии оплаты за инференс и получении хороших результатов) оправдано, а где лучше пойти в классические подходы и модели.

Сейчас LLM на волне хайпа, что привлекает большое количество людей в Data Science — это круто! Но, если вы решаете одну или две классические задачи, то использовать для этого ChatGPT возможно не очень оптимально (но кто же вам запретит).

Смотрите, если мы идём по пути стандартной классической old but gold модели классификатора, например, и собственноручно её дизайним и обучаем — платим за часы DS, если идём с решением LLM — тоже платим, но уже за хостинг LLM. Из плюсов классики — возможность работать с выходом модели, видоизменять его и дообучать саму модель пока не станет хорошо.

Отдельная история — это воспроизводимость результата. Если это мегаважно в текущей задаче, тут у LLM из коробки (без дообучения) тоже встречаются проблемы. И спасет либо дообучение, либо добавление в пайплайн классической модели, либо полное следование классическому подходу.

Использовать LLM стоит в задачах генерации, саммаризации и анализа текстов — поскольку в этом их главная килл фича. Используем API based LLM, когда необходим быстрый результат без длительного дообучения.

Общение с пользователями однозначно стоит переложить на плечи LLM. Это могут быть различные чат-боты, голосовые боты и др. Можно также вести блог, в котором текст будет генерироваться большой языковой моделью. Ведь при обучении использовали human feedback, поэтому писать текст она будет вполне «по-человечески». А ещё можно сделать дополнительные настройки — например, попросить использовать деловой стиль или, наоборот, ставить смайлики в конце каждого предложения.

Многообразие LLM: как выбрать и как использовать

Все модели делятся на открытые и закрытые.

Проприетарные модели: Antropic, Yandex Gpt-2, Gigachat, Grok от X.

Открытые модели: LLama 2, ruGPT, Mistral, Falcon.

Как понять какую модель вам нужно использовать: открытую или закрытую? Для этого нужно определить, насколько вам важна безопасность, хотите ли вы хостить решение в своем ЦОДе, ну и насколько модель хороша в решении именно вашей задачи в вашей доменной области.

Модели отличаются дата-сетами, на которых обучались, методиками обучения, архитектурой и другими параметрами. Чтобы подхватиь общее видение последних лидеров рынка LLM для вашего домена, можно воспользоваться открытыми бенчмарками и лидербордами.
Например:
1. huggingface_open_llm_leaderboard
2. Chatbot Arena Leaderboard

Но важно помнить, что не все бенчмарки можно воспроизвести. Поэтому слепо полагаться только на бенчмарк нельзя. Я советую выделить несколько LLM — например, минимум три или четыре, и посмотреть на практике, поставив эксперимент и получив результаты.

Про выбор модели и бенчи узнали — самое время узнать про хостинг моделей, но до хостинга есть важный юридический аспект лицензирования LLM.

Обзор лицензий моделей

На данный момент для open source существует несколько типов лицензий, которые различаются политиками использования. Стоит как минимум знать про существование оных, поскольку это может сильно сберечь энергию, время и, скорее всего, деньги вашему стартапу c LLM.

Требования к железу Llama 2

Вернёмся к модели с открытой лицензией Llama. У Llama 2 есть три версии: 7В, 13В и самая большая 70В. Циферка рядом с буквой говорит о том, насколько большая модель, на дата-сете какого размера была обучена, и как много знает. Таким образом, Llama 2 70B знает больше всех. Но чем больше модель, тем больше ресурсов нужно, чтобы её захостить. Обычно мы используем для этого сервер с четырьмя видео-картами Nvidia А100.

На картинке выше вы также можете увидеть сколько часов эти модели обучались, и примерно просчитать стоимость дообучения каждой из них.

Чтобы использовать полную версию Llama 2 70B, нам, например, не хватило четырёх видеокарт А100 по 40 гигабайт. Для этой модели нужно очень много памяти, ведь почти 80% уходит на то, чтобы просто загрузить веса, содержащие градиенты и другие артефакты, которые модель приобрела в процессе обучения. Поэтому, если мы хотим загрузить контекст больше 2000 токенов, то модель выходит за пределы памяти.

Из-за текущей стоимости видеокарт стоимость дообучения и инференса ‘ванильных’ полных моделей высокая, но всегда и везде приходят методы оптимизация и всяческого сжатия моделей до обучения, после обучения, фильтрации слоев и прочего. Посмотрим, что же применяют к LLM.

Квантизация и файн-тюнинг — убрать нельзя использовать.

Запятую предлагаю каждому поставить самостоятельно — так как методы оптимизации чаще подают под соусом ‘мы не теряем качество’ или ‘теряем очень мало информации — она все равно была не нужна’, но так ли это на самом деле?

Квантизация LLM

Давайте взглянем на святая святых — квантизацию весов. Она относится к методу оптимизации весов уже после обучения, и это прекрасно подходит LLM поскольку финальные веса и архитектура — часто всё, что нам доступно.

Это достаточно простой, но интересный трюк. Работа всех сеток базируется на матрицах и операциях свёртки либо перемножении и сложении матриц.

По умолчанию используется тип float-32, который покрывает около 4 миллиардов чисел в интервале [-3.4e38, 3.40e38]. Но нужно ли нам так много? Предлагаю рассмотреть стандартный вариант квантизации — квантоваться в int-8. Это значит, что мы берём и сжимаем весь наш четырехмиллионный диапазон float-32 в 256 значений int-8.

Без маппинга значений здесь не обойтись, но как сделать хорошее отображение из множества весов в float-32 в множество весов в Int-8, с минимальной потерей информации?

На самом деле, веса моделей имеют нормальное распределение (почему). Поэтому уровни в желаемом множестве Int-8 мы будем выделять исходя из нормального распределения: чем больше значений в диапазоне, тем больше уровней мы выделяем.

На картинке ниже можно наглядно взглянуть на разные алгоритмы квантизации и те самые уровни:

Квантизация пришла к нам из Computer Vision, но с приходом LLM и их больших размеров появились новые алгоритмы, например double quantization, а Microsoft вообще квантанули модель в int 1.

Файн-тюнинг LLM

Вспомним опять же про парадигму MlOps — в случае LLM на смену обычному обучению from scratch приходит повсеместное доообучение модели, в простонародье, fine-tuning. State of the art (SOTA) файн-тюнинга, на данный момент, — это PEFT (Parameter-Efficient Fine-Tuning).

Это множество методов дообучения, некоторые из которых мы давно используем и они максимально просты для понимания — например, Prompt-tuning. Какие-то из них безумно популярны сейчас — LoRA, какие-то используют далеко не все — привет, AttentionFusion. Скорее всего, если вы сталкивались с файнтюнингом в статьях или репозиториях, то это была LoRA или QLoRA. А снискали они своё частое использование в связи с тем, что позволяют достаточно быстро дообучить модели, используя подход с адаптерами и уменьшением ранга. Давайте смотреть!

Итак, LoRA расшифровывается как low rank adaptation. На вход подается W — матрица наших изначальных весов и замораживается — в ней мы пока ничего не обновляем. Затем во время дообучения мы хотим докидывать новую информацию, то есть матрицу новых весов W и суммировать её со старой. Суть метода в том, чтобы снизить размерность матрицы W путём перехода к матрице меньшего ранга (почему так можно), и работать впоследствии уже только с ней. То есть самые ресурсозатратные операции во время дообучения мы будем производить снизив размерность, а потом сделав обратное преобразование перейдём назад к размерности матрицы W, сложим значения матриц W + W (старая и новая информация), и получим новый красивый output.

Q-LoRA — это LoRA только с квантизацией в int-4. Это классная фича, которая позволяет запускать LLM на MAC или компьютере с CPU. Только вот время ответа и контекст во время диалога на практике сильно падает. Поэтому я бы советовала не квантоваться в int-4, а начать с больших размерностей.

Векторные базы данных и Lang Chain

После выбора модели, её возможной квантизации и дообучения встаёт вопрос о разворачивании самой модели и envirpment’а вокруг неё. На данный момент существует несколько проверенных связок, которые дают хорошие результаты и зарекомендовали себя на продакшн уровне.

Первое, что хочется отметить здесь — это векторные базы данных. Они оперируют эмбедингами или векторными представлениями слов, что ускоряет поиск по базе и оптимизирует хранение большого датасета.

Векторное представление слов — это трансформация текста, картинки или аудио в вектор. Размерность вектора зависит от вашей задачи и модели для эмбединга.

Если вас не устраивает размерность получившейся базы, можно посмотреть про снижение размерности и PCA. Если ваши эмбединги плохо различаются и путаются, советую присмотреться к использованию Triplet Loss’a в вашей эмбединг модели.

Существующие векторные БД:

Pinecone, Weaviate, Qdrant, Milvus, Vespa

MongoDB, Cassandra, PostgreSQL и SingleStore

LangChain – это фреймворк для разработки AI решений. Он содержит в себе всё, что нужно: модели, которые можно выбрать под свой запрос, шаблоны для промптов, индексацию по документам. В LangChain также есть реализация памяти и чейны, что делает его хорошим инструментом для беглой разработки прототипа.

Финал — что же нового в LLMOps

Подытожив всю новую информацию пришёл черёд взглянуть на неё с позиции жизненного цикла модели. Можно заметить, как некоторые из его шагов, немного видоизменились: вместо обучения модели с нуля в случае LLM у нас выступает файн-тюнинг, которого на данный момент более, чем достаточно, тестирование моделей сейчас не обходится с помощью human evaluation, что раньше не всегда было нужно, ну а инференс стал требовать бОльших ресурсов и обязательной оптимизации.

Давайте смотреть вместе, что же ещё изменят LLM в привычных процессах машинного обучения!

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2 июл. 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

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

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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

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

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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

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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

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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

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00:39 [email protected]

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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.