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Н Новости

Стоит ли ждать ChatGPT-o1 дома?

Большие языковые модели прочно засели в новостном пространстве, позволяя изменить подход к огромному количеству задач и дразня новой технологической революцией. Однако основной прогресс LLM сейчас происходит в компаниях, фокусирующихся на предоставлении LLM как сервиса, используя специфические технические и инфраструктурные решения. Это оставляет энтузиастам, собирающим своего собственного локального цифрового помощника, малые модели с открытыми весами. И модели эти, как кажется, будут отставать от старших братьев.

Однако это открывает интересное поле для рассуждений — какой могла бы быть архитектура модели, конкурирующей с передовыми облачными решениями на локальных потребительских GPU? Я погрузился в поиски статей на эту тему и хотел бы поделиться результатами и немного поспекулировать.

Ограничения и особенности использования потребительских GPU

При обработке единичного запроса LLM главным ограничением является как объем видеопамяти, так и ее пропускная способность. Современные модели задействуют приблизительно треть потенциальной вычислительной мощности видеокарты. Более того, модели, помещающиеся в память и полностью использующие пропускную способность ее памяти, все равно выдают большее количество токенов в секунду, чем человек способен прочитать или выслушать. Такие модели способны генерировать около 50-200 токенов в секунду, тогда как люди читают 7, а слушают и вовсе от силы 4 токена за то же время.

Таким образом, можно выписать список пожеланий к модели для частного локального пользования:

  • Количество параметров, позволяющее модели помещаться в память GPU или даже в ее малую часть.

  • Для сложных запросов средняя скорость генерации текста должна соответствовать скорости прочтения текста пользователем.

  • Модель должна утилизировать всю мощность GPU при обработке запроса.

Тут необходимо отметить основное расхождение между инженерными решениями оптимизации промышленных и локальных решений, поскольку те же самые задачи сервисы решают в других условиях:

  • Поскольку назначение серверных GPU другое, они могут иметь больший объем памяти и пропускную способность.

  • Много серверных GPU могут быть установлены на одном сервере для расширения объема и пропускной способности памяти. Также есть возможность дальнейшего масштабирования в кластере.

  • Некоторые методы, вроде батч процессинга, позволяют оптимизировать пропускную способность памяти при помощи параллельного расчета нескольких запросов.

Как видно из указанных методов оптимизации, сервисы могут иметь другие требования к используемым моделям. Это сильно влияет на выбор архитектуры модели ее разработчиками. Так, по эмпирическим законам масштабирования, большинству компаний, занимающихся LLM, для достижения наилучшего качества выгоднее тренировать модели, которые никак не разместятся в пользовательских GPU. Прямо сейчас можно заметить эволюцию архитектур в симбиоз малых локальных LLM с ограниченным набором возможностей, оптимизированных под NPU, и LLM-сервисов, которые могут использовать все преимущества параллельной обработки запросов и железа, недоступного потребителю. Можно сделать вывод, что свой собственный AGI на своей собственной видеокарте — несбыточная мечта.

Тексты, не предназначенные для чтения

В этом контексте очень интересно прозвучали новости от компании OpenAI, выпустившей свою новую линейку моделей o1-preview и o1-mini, про которые уже было хорошо написано на Хабре, предложивших новое направление через масштабирование вычислительных ресурсов во время генерации текста. Решение от OpenAI, хоть и закрытое, компоненты его хорошо угадываются: новые модели используют вычислительные мощности для генерации огромного количества текста внутреннего монолога модели, который затем сжимается для прочтения пользователем. Тут можно описать краткую историю развития этой идеи вне OpenAI.

Начало подобным методам положил опыт промпт-инженеров, которые выяснили, что если в запросе указать модели, как думать о задаче, и предложить выписать все действия явно, то модель будет решать задачу гораздо лучше. Буквально предоставленная возможность модели использовать свою собственную речь как черновик и как память для хранения промежуточных шагов показала эффективность этого подхода. После уже появились интерпретации, что люди сами используют свой внутренний монолог и черновики, но эти примеры далеко не всегда оказываются в тренировочных данных.

После этого инициация цепочки рассуждений через промптинг получила признание как метод и начала обрастать модификациями:

  • Метод генерации рассуждений не только последовательно, но и параллельно, с последующим выбором наиболее перспективных рассуждений.

  • Метод самокритики и оценки качества ответа самой моделью. Как ни удивительно, проверка рассуждений является гораздо более естественной для LLM задачей, чем их генерация.

Как для себя открыли впоследствии и исследователи, и энтузиасты, промптинг не является прямо необходимым для моделей, достаточно внимательно смотреть на выходные вероятности последующих токенов. Этих вероятностей достаточно, чтобы определить, что модель не уверена в своем ответе, и попытаться сгенерировать рассуждение снова в надежде, что следующая попытка выйдет лучше.

Естественно, все, что может быть в промпте и может генерировать правильные рассуждения, может быть зашито в саму модель в процессе тюнинга:

  • При помощи промпта направить модель на рассуждения шаг за шагом, бегло проверить рассуждения вручную и использовать полученные наборы для дальнейшего обучения.

  • Набрать таким же способом хорошие и плохие примеры рассуждений и на их основе обучить модель-критика (Direct Preference Optimisation), и уже с ее помощью тюнить результирующую модель.

  • Если уж речь зашла о тюнинге через модель-критика, то большие компании, вроде OpenAI, могут позволить себе добавить туда модерацию людьми, оценивая каждый шаг в процессе рассуждений.

Дальше доступные статьи больших лабораторий рассыпаются в разные стороны, но оперируют все теми же компонентами — генерацией цепочек рассуждений, построением моделей оценки качества цепочек через правильность ответа, построением моделей оценки качества отдельных шагов, применением этих моделей и для отбора тренировочных данных, и во время использования. Примеры 1, 2, 3, 4.

А теперь обратно к вопросу — дает ли это надежду энтузиастам локальных LLM? Скорее всего, да. Хотя пока такой моделью может похвастаться только OpenAI, можно ожидать, что подобные методы тюнинга будут применяться и к моделям с открытыми весами в будущем. Мало того, прецедент выпуска o1 во многом меняет взгляд индустрии на малые модели и их предназначение. Так, в интервью Андрей Карпати говорит о том, что, возможно, следует ожидать в языковых моделях уменьшения значимости "энциклопедического" функционала, так как в задачах, решаемых этими моделями, большинство зашитых туда знаний об интернете является явно излишними. И можно ожидать модели размером в 1-8 миллиардов параметров, способные к здравым рассуждениям на человеческом уровне, но обращающиеся к другим источникам для дополнительной информации.

Об уменьшенных больших моделях

Сложно говорить без спекуляций о количестве параметров моделей ChatGPT-o1, но все же стоит задать вопрос — если вдруг веса модели такого калибра будут доступны сообществу, какие методы могут позволить вместить ее в пользовательскую GPU? Ответов не так много — квантизация и дистилляция.

Квантизация моделей — это уменьшение размера моделей, изначально хранящих параметры с FP32 или FP16 точностью, посредством снижения точности индивидуальных параметров. Эта техника не является новой, квантизированные GGUF файлы уже являются стандартным форматом распространения моделей для индивидуального использования. С потерей точности модели теряют и в качестве, но комьюнити охотно экспериментирует с подбором размера изначальной модели и степенью ее сжатия для решения индивидуальных задач. Так что если фронтир-модель появится в открытом доступе, сразу же появятся ее менее точные аналоги. Главное, чтобы изначальная модель была разумного размера. Пока модели вроде llama 3 405B недоступны рядовым энтузиастам не только для GPU, но и для использования на CPU для большинства пользовательских машин.

Предельным случаем моделей с ограниченной точностью можно назвать однобитные модели. Майкрософт в начале прошлого года представил концепцию однобитных LLM, демонстрируя, что для функционирования подобным моделям достаточно лишь диапазона значений (-1, 0, 1). К сожалению, построить такую модель через квантизацию не выйдет, ее нужно изначально обучать для тернарной системы. Мало того, подобная модель достигает одинакового качества с классическими LLM лишь при десятикратном увеличении количества параметров, то есть используя тот же объем памяти. Основными победителями снова становятся обладатели специализированного оборудования, поэтому ожидания от выпущенных недавно библиотек для бинарных LLM следует иметь крайне скромные.

Другим способом демократизации больших моделей является дистилляция — метод, при котором малая модель обучается не на оригинальных данных, а на выходных предсказаниях (логитах) более мощной модели-учителя. Подобные данные являются гораздо более богатым источником информации, нежели текст, на котором обучалась изначальная модель. Примером дистиллированной модели могут быть 1B и 3B версии Llama 3.2, легко доступные для использования.

Дистилляция и квантизация дают надежду, что закрытые методы обучения, описанные в предыдущем разделе, имеют шанс дойти до энтузиастов в виде открытых весов и быть применимы на потребительском железе.

Альтернативные архитектуры

Все перечисленные ранее методы затрагивают в основном нюансы тренировки модели, данные, на которых она обучается, и оптимизацию инференса, но не изменяют саму по себе классическую архитектуру GPT. Поэтому интересно рассмотреть, какие изменения могли бы позволить подогнать архитектуру к особенностям локального инференса.

Тут надо сразу сделать одно замечание о том, что многие альтернативные архитектуры сейчас находятся буквально в патовом положении. Большинство идей, демонстрирующих результаты на малых моделях, не проявляют себя на промышленных объемах данных, что сильно затрудняет перенос академических исследований в индустрию. Примером может послужить статья о Mamba архитектуре, не прошедшая на конференцию, поскольку авторы "не проверили" траектории масштабирования для модели с более чем полутора миллиарда параметров. Поэтому большинство идей закономерно находятся в лимбе, не имея возможности быть ни подтвержденными, ни опровергнутыми.

Из архитектур, которые пробились в свет, можно выделить MoE (Mixture of Experts) модели, которые являются конструкцией из идентичных по архитектуре LLM, называемых экспертами, и модели-роутера, которая в зависимости от контекста выбирает, каких экспертов следует выбрать для предсказания следующего токена. Сама идея, что во время обработки токена модель может использовать лишь часть своих весов, позволяет не только ускорять обсчет модели, но и обходить ограничение по размеру модели, жонглируя весами экспертов, находящихся в конкретный момент в памяти GPU. Хотя объем перестает быть проблемой, они все еще ограничены скоростью доступа к памяти. Из несвязанных с этим хороших новостей — уже исследуются методы улучшения небольших моделей через превращение их в MoE модели.

Как кажется, для решения центральной проблемы эффективности утилизации GPU необходимо использовать меньше параметров, но использовать их несколько раз. Подобная идея уже упоминалась раньше в методах Tree of Thought, где из одного и того же промпта могло генерироваться несколько рассуждений, создавая независимые рассуждения параллельно. Но было бы здорово, если бы подобная идея была применена в более общем виде. Так, идея использования одних и тех же весов уже применялась в энкодер сетях ALBERT и Universal Transformers, но хоть для GPT работа ведется, каких-то прорывных результатов я не нашел.

Из идей этого направления хотелось бы отметить идею введения "пустых" токенов, основная цель которых не в предоставлении новой информации и не в генерации текста, а в том, чтобы предоставить текстовой модели дополнительное пространство для хранения промежуточных данных и произведения дополнительных вычислений. Довольно простой подход, предложенный в оригинальной статье, рассыпающий эти токены случайным образом по тексту, уже показывает хорошие результаты, но не дает пока ответа на вопрос как использовать подобную идею в более общем виде.

Заключение

Как видите, на сегодняшний день попытки перенести большие языковые модели на локальные пользовательские устройства сталкиваются с серьезными техническими ограничениями, однако успешность методов квантизации и дистилляции позволяет верить, что прогресс промышленных моделей будет доступен также и для локального пользования. Исследования, ведущиеся академическим сообществом и энтузиастами, также дают надежду на то, что сингулярность не наступит за закрытыми дверями.

Источник

  • 07.09.23 16:24 CherryTeam

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  • 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.

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  • 26.06.24 18:46 Jacobethannn098

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  • 06.09.24 01:44 Celinagarcia

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  • 23.09.24 18:56 matthewshimself

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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

    Your Lost Bitcoins Are Not Gone Forever? Enquire From iBolt Cyber Hacker iBolt Cyber Hacker is a cybersecurity service that specializes in Bitcoin and cryptocurrency recovery. Even if your Bitcoin is locked away in a scammer inaccessible wallet, they have the tools and expertise to retrieve it. Many people, including seasoned cryptocurrency investors, face the daunting possibility of never seeing their lost funds again. iBolt cyber hacker service is a potential lifeline in these situations. I understand the concerns many people might have about trusting a third-party service to recover their Bitcoin. iBolt Cyber Hacker takes security seriously, implementing encryption and stringent privacy protocols. I was assured that no sensitive data would be compromised during the recovery process. Furthermore, their reputation in the cryptocurrency community, based on positive feedback from previous clients, gave me confidence that I was in good hands. Whtp +39, 351..105, 3619 Em.ail: ibolt @ cyber- wizard. co m

  • 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

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