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Как заставить LLM работать на вас – разбираемся на примере задачи сопоставления товаров на маркетплейсе

Привет, Хабр! На связи команда продуктового матчинга ecom.tech. В этой статье мы расскажем, как используем LLM для задачи сопоставления товаров на маркетплейсе.

Как перевести задачу с продуктового языка на язык промптов. Что делать, если ни одна LLM не обучается на нужную тебе задачу (fine-tune). Как быть с поддержкой русского языка. Об этих и других аспектах по использованию LLM – читайте ниже.

Надеемся, эта статья будет интересна тем, кто интересуется математической и технической сторонами использования машинного обучения для решения продуктовых задач.

Часть 3. Возвращение LLM

В первой части мы подробно рассмотрели постановку задачи продуктового матчинга – процесса сопоставления товаров на основе различных критериев. Объяснили, как её успешное решение позволяет разобраться с задачами динамического ценообразования, добавления товаров от новых продавцов и объединения товаров в группы.

Во второй части рассказали, как устроен наш матчер, какие модели мы использовали и как их обучали: каскадные кандидатные модели для изображений и текстовых описаний, модель ранжирования и финальная модель на основе градиентного бустинга. Ниже – финальная третья часть о продуктовом матчинге для Мегамаркета.

Прежде, чем начать рассказ про LLM, поговорим сначала о проблемах, с которыми мы столкнулись при построении пайплайна матчера из предыдущей части, и как мы их решали.

Удаляем дубликаты

Данная задача связана с разметкой данных для обучения кандидатных и финальной моделей.

При заведении товаров бывает так, что разные продавцы заводят на площадку один и тот же товар (то есть изображение и атрибуты совпадают). Логично, что таким товарам присваивают различные id. Но содержание информации для моделей в них – одинаковое. Таким образом, мы начинаем формировать обучающую выборку с негативными примерами (данный процесс подробно описан во второй части).

Для каждого запроса должен быть ровно одно совпадение, поэтому этой паре мы приписываем единицу, а для всех остальных пар – ноль. Но при наличии дублей у нас будут случаи, когда одни и те же пары с разными идентификаторами получают метки как единиц, так и нулей. В итоге при обучении мы начинаем вводить модель в заблуждение: пары одинаковые, а метки разные. Это сказывается на качестве модели.

Значит, перед обучением модели, необходимо очистить наш ассортимент от дублей. Как это сделать? Тут есть несколько подходов.

Некоторые дубли удобно удалять по артикулу, но такой подход годится только для некоторых категорий, в которых мы точно можем быть уверены, что совпадение артикулов у товаров с разными идентификаторами означает, что эти товары являются идентичными. Например, так это устроено для автотоваров.

Можно организовать следующий итеративный процесс: собираем относительно небольшую, но качественную обучающую выборку, вручную проводим дедупликацию, обучаем кандидатные и финальную модели. После чего уже обученным матчером делаем матчинг нашего ассортимента сам на себя.

Найденные дубли удаляем из ассортимента, предварительно установив порог; расширяем обучающую выборку и повторяем весь процесс заново до тех пор, пока не получим необходимое для матчера качество. Да, это довольно долго и затратно, но это наиболее надежный способ решения проблемы дубликатов.

Можно сделать более щадящую процедуру: организовать векторный поиск по изображениям и отбросить дубли только по изображениям. Но такой метод плохо применим, например, в категории “Одежда”, где под разные товары с разными размерами подгружается одна и та же картинка (например, футболка белая). Гораздо надежнее учитывать ещё и текстовую информацию.

Оцениваем качество

Мы очистили нашу базу от дублей и обучили каскад моделей. Как теперь измерить качество матчера? Ведь каждая модель обучалась на свою функцию потерь – училась решать весьма специфическую, не связанную напрямую с матчингом, задачу. А нужно оценить весь матчер целиком.

Метрикой качества всего пайплайна матчинга мы решили использовать recall при фиксированном значении precision в 90%. Эта метрика может быть интерпретирована для бизнеса как охват при заданном значении точности. Тогда становится понятно, что мы хотим от матчера – надо максимизировать охват. Чем больше охват – тем больше идентичных товаров у конкурентов мы можем найти.

Но после получения списка матчей от финальной модели необходимо провести калибровку порогов. Другими словами, начиная с какого значения мы будем считать пару совпадением. Это необходимо для того, чтобы найти нужный баланс между количеством получаемых матчей (то есть recall) и точностью. И здесь возникает проблема: калибровать приходится на неразмеченных данных.

К сожалению, при всем стремлении к автоматизации, решить данную проблему без помощи человека невозможно. Но и тут можно пойти двумя путями. Либо привлечь асессоров, которые хорошо понимают ассортимент, либо (что гораздо быстрее) использовать сторонние сервисы разметки, такие как TagMe. После этого можно приступить к формированию финального списка совпадений (детально эта процедура была описана во второй части).

Ускоряем инференс

Кажется, что мы побороли ключевые проблемы, связанные с данными и разметкой. Теперь нужно ускорить наш пайплайн.

Сначала займемся оптимизацией центрального механизма всех расчетов внутри механизма self-attention – трансформера, на архитектуре которого у нас и картиночная модель и текстовые модели построены именно. Оказывается, скорость расчета можно существенно ускорить, если выполнять его в правильных частях GPU. Так появился подход Flash Attention.

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Основная идея: вместо различных способов аппроксимировать непосредственно подсчёт self-attention можно оптимизировать само его вычисление за счет правильного использования внутренней памяти GPU.

Подход Flash Attention стал крайне популярным для обучения и инференса моделей типа трансформер. Он быстро внедрился в различные модели, а его вторая версия с дополнительными оптимизациями на GPU была включена в библиотеки transformers и pytorch, что обеспечивает удобство в использовании.

Работа с текстом

Длина последовательности на вход в трансформер должна быть фиксирована, но предложения (в нашем случае описания товаров) обычно разной длины. Как быть? Берем самое длинное предложение, а всё, что короче него, заполняем с помощью специального токена pad до длины этого предложения. Годится? Нет. Таким подходом мы используем большое количество лишних токенов pad, которые требуют время и память на их обработку. Можно сделать это быстрее.

Сначала разобьем данные на батчи, а внутри каждого батча заполним предложения до нужной длины. Такой подход получил название динамический padding. Если перед этим сначала отсортировать все последовательности по длине, затем разбить на батчи, а только потом заполнять их до нужной длины, то получится ещё меньше токенов! Такой подход получил название smart batching.

Если говорить в применении к нашим данным, то smart batching сократил почти вдвое количество используемых токенов, что позволило ускорить все текстовые модели.

Ещё можно вспомнить, что у нас текстовые и картиночные кандидатные модели дают на выходе n кандидатов. Если модели хорошо обучены, то большая часть кандидатов – мусор. И можно ввести дополнительный порог, который будет передавать в cross-encoder (самую тяжелую модель) только избранных кандидатов (сильно меньше, чем n). Это, разумеется, ускорит инференс самого cross-encoder.

Наконец, не забываем, что все этапы инференса надо делать с половинной точностью (в fp16, можно в int8 или int4, но тогда качество уже начинает падать). Собрав всё вместе, мы смогли ускорить наш пайплайн более чем в 8 раз.

Возвращение LLM

Последние два года весь мир поглотила эпидемия больших языковых моделей (LLM). Даже люди, которые совершенно далеки от машинного обучения – слышали что-то про GPT и его умение решать почти любую задачу. Так может дать ему решить задачу продуктового матчинга?

Все LLM делятся на два категории: те, кто сидят в open source, и те, кому нужны API. В нашем случае мы хотим иметь свое локальное решение. Наш выбор пал на LLM семейства Llama-3.1.

А именно, мы взяли модель на 70 млрд параметров. Теперь надо придумать, как перевести нашу задачу с продуктового языка на язык промптов. Дадим на вход два описания товаров и спросим у модели напрямую, являются ли эти товары идентичными или нет. Сам промпт будет выглядеть так:

Оказывается, что LLM неплохо справляется с этой задачей! Таким образом, нам нет нужды использовать этап с cross-encoder и финальной моделью. Получив кандидатов, мы сразу подаем их описания на вход LLM и все.

Но LLM тоже далеко не всегда дает верный ответ (тут даже человек делает это с трудом). Понятно, что использовать LLM на всем ассортименте в данном случае это как палить из огромной пушки по воробьям. Эффектно, но не эффективно. Но мы нашли для нее область применения: проблемные категории типа “Одежда” или “Обувь”. В предыдущей части мы описывали, почему эти категории не очень приятно матчить.

Итак, LLM из коробки вполне может решать задачу матчинга, но мы всё же хотим значительно повысить качество ее ответов. Изначально ни одна LLM не обучается на задачу матчинга. Значит, нам придется делать fine-tune.

Для этого нужно выбрать модель и сам метод fine-tune. Llama-3.1 хороша, но русский язык у неё не был среди основных. Возьмем модель с нативной поддержкой русского текста.

Mistral-Nemo на 12 млрд параметров – то, что надо! Она достаточно компактна и при этом поддерживает русский язык из коробки. Теперь определимся с методом для fine-tune. Тут, конечно, глаза разбегаются.

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Нам нужен метод, который позволит быстро и качественно (без переобучения) сделать fine-tune нашей LLM. Поэтому наш выбор остановился на классе методов репараметризации, а именно – LoRA. Чем он хорош?

Во-первых, большая часть параметров остается “замороженными” в процессе fine-tune, что обеспечивает необходимую скорость и позволяет избежать переобучения.

Во-вторых, можно предварительно квантизовать веса (до int4, например) и значительно сэкономить память. Этот подвид LoRA называют QLoRA. Его и будем использовать.

Итак, у нас всё готово для проведения fine-tune. Осталось собрать датасет. Здесь всё зависит от того, где в нашем pipeline матчера будет использоваться LLM. Ясно, что использовать ее сразу вместо cross-encoder и финальной модели будет слишком накладно по времени и ресурсам. А вот использовать ее как супер-удар для проблемных категорий возможно.

Наш матчер работает неидеально, поэтому остаются реальные совпадения, которые в силу тех или иных причин были пропущены (например, в одежде не очень понятно подписан размер, в одном месте S, в другом 46). И тут мы выпускаем ̶к̶р̶а̶к̶е̶н̶а̶ LLM.

Например, берем отбракованные пары из категории одежда, выставляем порог близости по картиночным кандидатам не ниже 0.9 (то есть изображения очень близки, это потенциальное совпадение) и получившиеся пары (точнее, их текстовые описания) прогоняем повторно через LLM. Таким образом, LLM будет использована для поиска дополнительных матчей в проблемных категориях.

А как будет выглядеть сам промпт для такого fine-tune?

Например, вот так:

[INST] Два товара являются одинаковыми, если у них одновременно совпадают бренд, цвет и размер (остальные атрибуты не важны).
Проанализируй описание двух товаров в квадратных скобках и определи являются ли эти товары одинаковыми. Если два товара являются одинаковыми, верни ответ "да". Если два товара не являются одинаковыми, верни ответ "нет". [/INST]

Здесь принципиально важно указать правило, согласованное категорийным менеджером, что является совпадением, а что нет. Всё, запускаем fine-tune в режиме Causal_LM (один из параметров конфигурации QLoRA). Дальше рецепт прост: 2 GPU H100, пару часов ожидания и вуаля! Мы получили Mistral, заточенный под задачу матчинга в категории одежда.

Теперь самое время протестировать. После замеров оказалось, что количество дополнительных совпадений составило почти 30% от числа уже найденных! Отличный результат – данный подход полностью себя оправдал.

Но мы решили не останавливаться на этом. Наша LLM работает только с текстом, но картинки тоже являются важной частью матчинга. Надо их тоже использовать. Что делать? Брать мультимодальную модель!

Поскольку Mistral-Nemo себя прекрасно зарекомендовал, мы взяли его мультимодальную версию – Pixtral. Это тот же Mistral-Nemo + ViT трансформер.

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Что будем с ней делать? Добавляем картинки, немного меняет промпт и вновь делаем fine-tune с помощью QLoRA. Результат получился следующим: количество дополнительных матчей выросло до 37% от числа уже найденных. То есть мультимодальность добавила еще 7%, что, в целом, ожидаемо, поскольку картинки – важная составляющая карточки товара.

Итак, мы успешно внедрили LLM в свой пайплайн матчера, но на этом работа далеко не закончена.
Во-первых, использование мультимодальной LLM замедляет пайплайн (надо обрабатывать еще и картинки).
В-вторых, мы делали fine-tune только для нескольких проблемных категорий, а хочется иметь некое универсальное решение. Более того, универсальным это решение должно быть не только в разрезе категорий, но и в разрезе площадок конкурентов (описание товаров довольно сильно отличается от площадки к площадке). Работы здесь ещё много, мы продолжаем выдвигать всё новые гипотезы и проводить эксперименты.

Балансируйте!

Вот и подошла к концу наша трилогия о путешествии в захватывающий мир продуктового матчинга. Надеемся, каждый сможет вынести для себя что-то свое из этого рассказа, но главную на наш взгляд мысль мы все же выскажем: основа успеха – это баланс.

Баланс между скоростью и точностью. Баланс между простотой и сложностью. Баланс между новым и старым. Любая задача всегда имеет несколько возможных вариантов решения и нужно не стесняться экспериментировать, пробовать самые свежие подходы и идеи.

Желаем всем находить побольше истинных совпадений в своей жизни и да прибудет с вами Дурин!

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21 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]

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
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 >
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