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[Перевод] Оценка LLM: комплексные оценщики и фреймворки оценки

В этой статье подробно описываются сложные статистические и предметно-ориентированные оценщики, которые можно использовать для оценки производительности крупных языковых моделей. В ней также рассматриваются наиболее широко используемые фреймворки оценки LLM, которые помогут вам начать оценивать производительность модели.

В предыдущей статье была представлена общая оценка LLM, типы бенчмарков и принципы их работы. Мы также говорили о некоторых общих метриках, которые они используют для измерения производительности LLM.

Серия публикаций о бенчмаркинге LLM

Прочтите все остальные статьи из серии об оценке LLM и ознакомьтесь с нашим последним глубоким обзором лучших LLM для генерации кода.

Использование оценщиков для оценки LLM

Чтобы оценить LLM сопоставимым образом, необходимо использовать общеприменимые и автоматически измеримые метрики.

(Тем не менее, обратите внимание, что оценка с участием человека также возможна, либо просто для перепроверок, либо для проведения всесторонних человеческих оценок. Ее настройка дорогая и сложная, но она может пригодиться, если вашей целью является действительно тщательная оценка).

В этой статье мы сосредоточимся на стандартизированных метриках, которые вы можете использовать для измерения и сравнения производительности крупных языковых моделей для заданного набора задач.

Что мы подразумеваем под «производительностью LLM»?

В этой статье мы будем использовать термин «производительность LLM», когда речь идет об оценке того, насколько полезен LLM для конкретной задачи. Дополнительные показатели, такие как токены в секунду, задержка или метрики стоимости, а также другие оценщики, такие как метрики вовлеченности пользователей также полезны, но выходят за рамки этой статьи.

Метрики оценки LLM делятся на две основные категории:

Контролируемые метрики: используются, когда доступны справочные метки (например, истина, или другими словами, ожидаемый правильный ответ). Если попросить LLM сложить 2 и 2, то будет только один правильный ответ.
Неконтролируемые метрики: когда метка истины недоступна, можно использовать неконтролируемые метрики. Их, как правило, сложнее вычислить, и они потенциально менее значимы. Если вы попросите LLM написать красивое стихотворение, как вы собираетесь оценивать его? В эту категорию входят такие метрики, как недоумение, длина ответа и т. д.

Контролируемые метрики наиболее предпочтительны, потому что с ними проще всего работать. Либо ответ модели соответствует правильному решению, либо нет, все просто. Для извлечения правильного ответа из текста, который выдает LLM, может потребоваться некоторый анализ и/или настройка подсказок, но сама оценка очень проста.

Неконтролируемые метрики сложнее, потому что их нельзя разделить на «черное и белое». И поскольку человеческий мир также не разделен на «черное и белое», далее мы сосредоточим свое внимание именно на этих метриках.

Чаще всего при оценке LLM вы будете полагаться на две ключевые категории неконтролируемых метрик:

Статистические оценщики: используются для анализа производительности LLM на основе чисто статистических методов, которые применяют вычисления для измерения разницы между фактическим и ожидаемым/приемлемым результатом LLM. Эти методы считаются неоптимальными в случаях, когда требуется рассуждение или при оценке длинных и сложных результатов LLM, поскольку такие метрики не преуспевают в рассмотрении семантики.
Оценщики на основе моделей для оценки с помощью LLM: эти оценщики полагаются на другую LLM (например, GPT-4) для расчета баллов за результаты тестируемой LLM (например, сценарий «ИИ оценивает ИИ»). Хотя это гораздо быстрее и, очевидно, более экономично, чем использование ручной (человеческой) оценки, этот вид оценки может быть ненадежным из-за недетерминированной природы LLM. Недавно было доказано, что оценщики ИИ могут быть предвзяты в отношении своих собственных ответов.

В разделах ниже мы приведем примеры того и другого.

Ссылка на изображение: https://www.confident-ai.com/blog/llm-evaluation-metrics-everything-you-need-for-llm-evaluation

При оценке LLM вам нужно будет тщательно выбирать показатели производительности, которые лучше всего соответствуют контексту и целям вашей оценки. В зависимости от предполагаемого сценария применения LLM (например, обобщение, разговор, кодирование и т. д.) вам нужно будет выбрать разные метрики. Благодаря своей природе LLM особенно хороши в обработке и генерации текста. Поэтому для этой области применения существует достаточно много метрик. Для других областей существуют более «экзотические» оценщики, хотя это выходит за рамки данной статьи.

Ниже представлены основные области оценки LLM (например, задачи, на основе которых вы оцениваете производительность LLM) и некоторые часто используемые метрики для каждой из них:

Обобщение: Обобщение фрагмента входного текста в более кратком формате с сохранением его основных моментов. (Метрики: BLEU, ROUGE, ROUGE-N, ROUGE-L, METEOR, BERTScore, MoverScore, SUPERT, BLANC, FactCC).
Ответ на вопрос: Поиск ответа на вопрос во входном тексте. (Метрики: QAEval, QAFactEval, QuestEval).
Перевод: Перевод текста с одного языка на другой. (Метрики: BLEU, METEOR).
Распознавание именованных объектов (NER): Идентификация и группировка именованных объектов (например, людей, дат, мест) во входном тексте. (Метрики: InterpretEval, метрики классификации, например, точность, отзыв, достоверность и т. д.).
Грамматическая разметка: Также известная как разметка частей речи (POS), эта задача требует от LLM идентифицировать и добавлять к входному тексту (словам в предложении) грамматические теги (например, существительное, глагол, прилагательное).
Анализ настроений: Идентификация и классификация эмоций, выраженных во входном тексте. (Метрики: точность, отзыв, оценка F1).
Синтаксический анализ: Классификация и извлечение структурированных данных из текста путем анализа его синтаксической структуры и определения его грамматических компонентов. (Метрики: Spider, SParC).

В следующем разделе мы познакомим вас с некоторыми из наиболее часто используемых оценщиков.

Статистические оценщики, используемые при оценке модели

BLEU (BiLingual Evaluation Understudy): Этот оценщик измеряет точность сопоставления n-грамм (последовательности из n-последовательных слов) в выходных данных по сравнению с ожидаемой истинной версией. Обычно он используется для оценки качества перевода с LLM. В некоторых случаях может применяться штраф за краткость.
ROUGE (Recall-Oriented Understudy for Gisting Evaluation): Этот оценщик в основном используется для оценки обобщения и эффективности перевода моделей. ROUGE измеряет полноту, например, сколько контента из одной или нескольких ссылок фактически содержится в выходных данных LLM. У ROUGE есть несколько вариаций, например, ROUGE-1, ROUGE-2, ROUGE-L и т. д.
METEOR (Metric for Evaluation of Translation with Explicit Ordering): В основном используемый для оценки переводов, METEOR является более всеобъемлющим оценщиком, поскольку он оценивает как точность (совпадения n-грамм), так и полноту (перекрытия n-грамм). Он основан на обобщенной концепции соответствия униграмм (основанной на одном слове) между выходными данными (например, переводом LLM) и справочным текстом (например, переводом, выполненным человеком).
Расстояние Левенштейна или расстояние редактирования: Используется, среди прочего, для оценки исправлений орфографии. Этот оценщик вычисляет расстояние редактирования между входными и выходными данными, например, минимальное количество правок отдельных символов, необходимых для преобразования выходного текста во входной.

Оценщики на основе моделей в оценке LLM

Оценки на основе LLM могут быть более точными, чем статистические оценщики, но из-за вероятностной природы LLM надежность может оказаться проблемой. С учетом сказанного, доступен ряд оценщиков на основе моделей, в том числе:

BLEURT (Bilingual Evaluation Understudy with Representations from Transformers): BLEURT основан на трансферном обучении для оценки генерации естественного языка с учетом языкового разнообразия. Как сложный оценщик, он оценивает, насколько беглым является выходной текст и насколько точно он передает смысл справочного текста. В этом случае трансферное обучение означает, что предварительно обученная модель BERT (см. ниже) предварительно обучается на наборе синтетических данных, а затем, перед запуском BLEURT, обучается на человеческих аннотациях.
NLI (Natural Language Inference) или распознавание логического текста (RTE): Этот оценщик определяет, является ли выходной текст логически согласованным с входным текстом, противоречит ли ему или не связан (нейтрален) с другим. Как правило, 1 означает логически согласованный, а значения около 0 представляют противоречие.

Комбинированные статистические и основанные на моделях оценщики

Чтобы сбалансировать недостатки как статистических, так и основанных на моделях оценщиков, вы можете объединить эти два типа. Этот подход используют различные метрики, в том числе:

BERTScore: Это автоматическая оценочная метрика для генерации текста, которая опирается на предварительно обученные языковые модели (например, BERT). Было доказано, что эта метрика коррелирует с человеческой оценкой (на основе предложения и уровня системы).
MoverScore: Также основанный на BERT, MoverScore может использоваться для оценки сходства между парой предложений, написанных на одном языке. В частности, это полезно в задачах, где может быть несколько способов передать одно и то же значение без полного совпадения точных формулировок. Он показывает высокую корреляцию с человеческим суждением о качестве текста, сгенерированного LLM.
Другие метрики, такие как SelfCheckGPT, доступны, например, для проверки выходных данных LLM на наличие галлюцинаций.
И наконец, генерация вопросов и ответов (QAG) полностью поддерживает автоматизацию в оценке LLM, используя вопросы типа «да-нет», которые могут быть сгенерированы другой моделью.

Фреймворки оценки LLM против бенчмарков

Учитывая количество и сложность вышеуказанных метрик (и их комбинаций, которые вам захочется использовать для комплексной оценки), тестирование производительности LLM может оказаться сложной задачей. Такие инструменты, как фреймворки и бенчмарки, помогают проводить оценки LLM с выбранными метриками.

Давайте сначала разберемся с основами.

В чем разница между фреймворками оценки LLM и бенчмарками?

Фреймворки - это отличные наборы инструментов для проведения оценок LLM с пользовательскими конфигурациями, метриками и т. д.

Бенчмарки - это стандартизированные тесты (например, наборы предопределенных задач), которые предоставляют сопоставимые результаты для различных моделей.

Подумайте, сколько секунд потребуется спортивному автомобилю, чтобы разогнаться до 100 км/ч. Это бенчмарк, с которым вы можете сравнивать разные модели и бренды. Но чтобы получить это числовое значение, вам придется иметь дело со всем оборудованием (например, секундомером, прямым участком дороги и быстрой машиной). Вот что предоставляет фреймворк. Ниже мы перечислим несколько самых популярных фреймворков оценки.

Лучшие фреймворки оценки LLM

DeepEval

DeepEval - очень популярный фреймворк с открытым исходным кодом. Он прост в использовании, гибок и предоставляет встроенные метрики, включая:

G-Eval
Обобщение
Релевантность ответа
Достоверность
Контекстная отзывчивость
Контекстная точность
RAGAS
Галлюцинация
Токсичность
Предвзятость

DeepEval также позволяет вам создавать пользовательские метрики и предлагает интеграцию CI/CD. Фреймворк включает популярные наборы данных и конфигурации бенчмарков LLM (включая MMLU, HellaSwag, DROP, BIG-Bench Hard, TruthfulQA, HumanEval, GSM8K).

Giskard

Giskard тоже имеет открытый исходный код. Этот фреймворк на основе Python можно использовать для обнаружения проблем производительности, предвзятости и безопасности в ваших приложениях ИИ. Он автоматически обнаруживает проблемы, включая галлюцинации, создание вредоносного контента или раскрытие конфиденциальной информации, внедрение подсказок, проблемы с надежностью и т. д. Одна из замечательных особенностей Giskard заключается в том, что он поставляется с набором инструментов оценки RAG, специально предназначенным для тестирования приложений дополненной генерации (RAG).

Giskard работает со всеми моделями и средами и интегрируется с популярными инструментами.

Promptfoo

Еще одно решение с открытым исходным кодом позволяет локально тестировать приложения LLM. Этот фреймворк, не зависящий от языка, предлагает кэширование, согласованность и живую перезагрузку для более быстрой оценки.

Promptfoo позволяет использовать различные модели, включая OpenAI, Anthropic, Azure, Google, HuggingFace и модели с открытым исходным кодом, такие как Llama. Он выдает подробные и практические результаты в удобной для обзора матричной структуре. API позволяет легко работать с Promptfoo.

LangFuse

LangFuse - еще один фреймворк с открытым исходным кодом, которым могут бесплатно пользоваться любители. Он обеспечивает отслеживание, оценку, управление подсказками и метрики. LangFuse не зависит от модели и фреймворка и интегрируется с LlamaIndex, Langchain, OpenAI SDK, LiteLLM и др., а также предлагает доступ к API.

Eleuther AI

Eleuther AI - один из самых полных (и, следовательно, популярных) фреймворков. Он включает в себя более 200 оценочных задач и более 60 бенчмарков. Этот фреймворк поддерживает использование пользовательских подсказок и метрик оценки, а также локальных моделей и бенчмарков для покрытия всех ваших потребностей в оценке.

Ключевым моментом, доказывающим ценность Eleuther AI, является то, что на этом фреймворке основана популярная таблица лидеров Open LLM от Hugging Face.

RAGAs (оценка RAG)

RAGAs - это фреймворк, разработанный для оценки конвейеров RAG (Retrieval Augmented Generation). (RAG использует внешние данные для улучшения контекста для LLM).

Фреймворк фокусируется на основных метриках, включая достоверность, контекстную релевантность, релевантность ответа, контекстную отзывчивость и контекстную точность. Он предоставляет все инструменты, необходимые для оценки текста, сгенерированного LLM. Вы можете интегрировать RAGAs в свой конвейер CI/CD, чтобы обеспечить непрерывные проверки ваших моделей.

Weights & Biases

Помимо оценки приложений LLM, ключевым преимуществом Weights & Biases является то, что вы можете использовать его для обучения, точной настройки и управления моделями. Он также будет полезен для обнаружения регрессий, визуализации результатов и обмена ими с другими.

Несмотря на то, что он состоит из нескольких модулей (W&B Models, W&B Weave, W&B Core), его разработчики утверждают, что вы можете настроить систему всего за 5 минут.

Azure AI Studio

Azure AI Studio от Microsoft - это универсальный центр для создания, оценки и развертывания моделей ИИ. Он позволяет визуализировать результаты, помогая вам выбрать правильную модель ИИ для ваших нужд. Azure AI Studio также предоставляет центр управления, который помогает оптимизировать и устранять неполадки в моделях. Приятно осознавать, что это решение поддерживает варианты использования без кода, с легким кодом и с профессиональным кодом, поэтому энтузиасты LLM с любым уровнем знаний могут начать работу с ним.

Резюме: ключевые метрики и фреймворки оценки LLM

Мы надеемся, что эта статья даст вам лучшее понимание того, на каких оценщиков вам придется обращать внимание при оценке моделей для вашего конкретного варианта использования. Если вы хотите оценить производительность LLM, приведенные выше фреймворки оценки помогут вам начать.

Ищете LLM для генерации программного кода? Не пропустите следующую статью, в которой будет представлен обзор самых популярных бенчмарков LLM для генерации программного кода!

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7 нояб. 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

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