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Meta AI представила Meta Spirit LM: открытая многомодальная языковая модель, объединяющая текст и речь.

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Microsoft открывает исходный код bitnet.cpp: суперэффективная 1-битная система вывода LLM, работающая на процессорах.

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Появление интеллекта в больших языковых моделях: влияние сложности на системы с правилами

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DeepMind представил Omni×R: новый способ оценки возможностей языковых моделей с учетом текста, звука, изображений и видео.

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Salesforce AI представляет ReGenesis: новый подход к улучшению логики больших языковых моделей.

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Сходство и родство между языковыми моделями, как в биологической эволюции

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DeepSeek AI представила Janus: мультимодель с генерацией изображений и 1,3 миллиарда параметров.

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DaWin: Безобученная система динамической интерполяции весов для надежной адаптации

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Исследователи Стэнфорда предложили новое улучшение для Vision Transformers: локальная выравниваемость.

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Оценка уязвимостей агентов LLM: стандарт AgentHarm для защиты от атак взлома

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IBM представила ST-WebAgentBench: новый стандарт для оценки безопасности и надежности веб-агентов

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OpenAI представила приложение ChatGPT для Windows

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Jina AI представила g.jina.ai: мощный API для улучшения текстов с помощью фактической информации из реального времени.

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Выпуск PyTorch 2.5: Повышение эффективности и масштабируемости машинного обучения

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Katanemo открывает доступ к своей функции: набор больших языковых моделей с обещанием высокой скорости выполнения задач.

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Как большие языковые модели могут одновременно выполнять разные задачи обучения в контексте.

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От ONNX до статических векторов: Почему Sentence Transformers v3.2.0 важное обновление?

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Исследователи Google AI предложили «МОДЕЛЬНЫЕ РОИ»: алгоритм совместного поиска для адаптации различных экспертов LLM к широкому спектру задач.

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CodeJudge: Фреймворк машинного обучения для оценки генерации кода без тестовых случаев.

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Предложение AI-рамки для защиты мобильных услуг от атак злоумышленников

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