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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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Система диалога в реальном времени Kyutai Moshi: революционные разговоры с человекоподобной натуральностью.

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Улучшение однократного федеративного обучения с помощью двойных генераторов без данных для улучшения производительности модели и снижения перекрытия данных

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Эффективная платформа для совместного восприятия в автономных системах.

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Новый метод ИИ для создания и обработки синтетических данных на основе реальных источников данных.

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Новая модель языка Mistral-Small-Instruct-2409: мощный инструмент для создания искусственного интеллекта.

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