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Анализ показывает ограниченную эффективность CoT Prompting вне математики и символического мышления.

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Обзор и сравнение интеллектуальных систем искусственного интеллекта

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Улучшение моделей линейного внимания для эффективной обработки языка.

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Исследователи ByteDance выпустили InfiMM-WebMath-40: открытый мультимодальный набор данных для сложного математического рассуждения

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Исследователи Google AI создали новую модель биоакустики китов, способную определять восемь различных видов, включая несколько вызовов для двух из них.

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Применение машинного обучения в развитии мембранных технологий.

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Microsoft выпустила модель GRIN MoE для эффективного и масштабируемого глубокого обучения.

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Набор данных FC-AMF-OCR: 9,3 миллиона изображений финансовых документов с полными аннотациями OCR.

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Новый метод улучшения точности ИИ в сложных математических и программных задачах.

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Модель PPlug: Простая и гибкая генерация персонализированного текста

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Улучшение поиска: Искусственный интеллект для снижения ошибок на 67%

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Новый подход к символьной регрессии с использованием больших языковых моделей.

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Эффективная платформа для запуска нейронных сетей на различном оборудовании.

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Инновационный набор инструментов AI для оптимизации операций LLM в различных областях.

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Исследование квантования моделей с разным количеством параметров

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Поиск с расширенными возможностями для интеграции текстовых и визуальных запросов.

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Новый прорыв в разработке ПО: AI достигает 91% точности в воссоздании 90 000 строк кода.

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ByteDance представила иерархическую модель большого языка для улучшения рекомендаций.

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Новые открытые модели языка для исследований искусственного интеллекта.

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NVIDIA представила NVLM 1.0: семейство мультимодальных больших языковых моделей с улучшенными возможностями обработки текста и изображений.

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