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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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WordLlama: Бесплатный инструмент для текстового анализа

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Оценочная сетка для фреймворков безопасности искусственного интеллекта: статья из Центра управления искусственным интеллектом.

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Искусственный интеллект для создания и редактирования музыки с управлением художественным выражением.

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Приложение для чата с врачами: возможность общаться с докторами в различных форматах.

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Как улучшить производительность искусственного интеллекта путем уменьшения влияния “цепной реакции” изменения значений и стратегий.

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Вышли модели Qwen 2.5: Qwen2.5, Qwen2.5-Coder и Qwen2.5-Math с поддержкой 72 миллиардов параметров и 128 тысяч контекстов.

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SynSUM: Бенчмарк для объединения клинических записей с структурированными данными.

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