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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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Новая модель SFR-RAG: улучшение точности и эффективности в генерации контента.

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Можно ли оптимизировать большие языковые модели быстрее, чем Adam? Новая разработка SOAP от Гарварда обещает улучшить и стабилизировать обучение глубоких нейронных сетей.

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Прогнозирование хаотических систем с использованием физически обоснованных нейрооператоров: устранение ограничений традиционных моделей.

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Структура мышления в искусственном интеллекте: моделирование итеративного рассуждения в больших языковых моделях.

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Создание цепочек рассуждений с помощью Llama-3.1 70b на Groq

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Метод удаления вредоносного шума на основе низкоранговых итераций.

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Проверка RDF троек с помощью LLM с отслеживаемыми аргументами: метод валидации крупномасштабных знаниевых графов.

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Как работает память в языковых моделях на основе трансформеров.

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Выпущена коллекция моделей встраивания текста для сербского языка, оптимизированных для информационного поиска и RAG.

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Pixtral 12B: Революционная мультимодальная AI-модель от Mistral AI.

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Новая модель текстовых вложений Jina-Embeddings-v3 для различных задач обработки естественного языка.

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Новая модель для разработки программного обеспечения с использованием LLM.

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Фреймворк TinyAgent для обучения и развертывания небольших языковых моделей.

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