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WACK: Улучшение обнаружения галлюцинаций в языковых моделях с помощью специализированных наборов данных и методов подсказок

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Каштан: Набор данных QoS для мобильных крайних сред

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AUTO-CEI: Подход к улучшению точности ответов и контролю отказов LLM в различных областях рассуждений

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Эта статья объясняет, как работают ротационные позиционные эмбеддинги в трансформерах.

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30 лучших инструментов искусственного интеллекта для аналитиков данных

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PAPILLON: Искуственный интеллект с акцентом на конфиденциальность, объединяющий локальные и собственные модели для безопасных и точных результатов.

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Выпуск SmolLM2: Новая серия малых языковых моделей для устройств

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Запуск модели Run:ai Streamer: решение для ускоренной загрузки больших моделей.

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OpenAI запустила поисковую систему в ChatGPT

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Meta AI выпустила модели MobileLLM: 125M, 350M, 600M и 1B.

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Расслабленные рекурсивные трансформеры с поуровневой адаптацией для повышения производительности и снижения вычислительных затрат в больших языковых моделях.

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CodeFavor: Фреймворк машинного обучения для обучения моделей парных предпочтений на основе синтетических предпочтений кода, созданных из изменений кода и его критики.

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Улучшение планирования задач в языковых агентах с помощью графовых нейронных сетей

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XElemNet: Фреймворк машинного обучения с объяснимым ИИ для глубоких нейронных сетей в материаловедении

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Что такое кластеризация в искусственном интеллекте?

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Улучшенные языковые агенты с использованием графов знаний для систем рекомендаций

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OpenAI представила SimpleQA: новый тест для оценки фактической точности языковых моделей

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Тайпан: Новая гибридная архитектура, объединяющая Mamba-2 с слоями селективного внимания (SAL)

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Meta AI представила LongVU: многомодальную языковую модель для понимания длинных видео.

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MaskGCT: Новый современный текст-в-речь модель

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