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Лучшие курсы по структурам данных и алгоритмам

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Фреймворк LANISTR: обучение на языковых, изображенческих и структурированных данных с использованием внимания AI.

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Как настроить GPT-3.5 для эффективных писем с предложениями

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Как Language Agents переводят длинные романы?

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Новая функция загрузки таблиц в Google Gemini 1.5 Pro для улучшения анализа данных

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Новый Vision Transformer от Microsoft Research для цифровой патологии

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Инструмент для оценки языковых моделей от EleutherAI: lm-eval для надежной оценки NLP

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Оценка цепочек рассуждений для точных решений в области LLM: за пределами игры частотности

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Изменение подхода: роль MoRA в развитии эффективных техник точной настройки параметров

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Объединенная мультимодальная модель на базе архитектуры Sparse MoE

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Исследование из Университета Чикаго: финансовый анализ с помощью больших языковых моделей

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Улучшение понимания и производительности нейронной сети с помощью волнового интегрированного сети Колмогорова-Арнольди (Wav-KAN)

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Прозрачность в фондовых моделях: следующий шаг в индексе прозрачности фондовых моделей (FMTI)

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Интерфейс командной строки Elia для взаимодействия с LLM.

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Исследователи MIT предлагают Cross-Layer Attention (CLA): модификацию архитектуры трансформера, которая уменьшает размер кэша Key-Value (KV) путем совместного использования активаций KV между слоями.

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Модель AmbientGPT: открытый и многофункциональный интерфейс для MacOS

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Робот Octo: обученная на 800 тыс. траекториях из набора данных Open X-Embodiment общего назначения, основанная на большом трансформере с открытым исходным кодом.

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Агент обучения с подкреплением в модели мира диффузии

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AI-система для проверки честности модели с помощью нулевых доказательств

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Microsoft представляет Phi Silica: модель искусственного интеллекта с 3,3 миллиарда параметров, повышающая эффективность и производительность в персональных компьютерах

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