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Выбор моделей вознаграждения и обучение с использованием нескольких моделей вознаграждения.

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Оценка верности контекста в искусственном интеллекте: новый и всесторонний подход.

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Новинки от Black Forest Labs: FLUX1.1 [pro] и BFL API для профессионалов в области творчества.

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Новая семья мощных универсальных мультиязыковых моделей Apple AI Research MM1.5

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Воздействие чат-ботов на ложные воспоминания: исследование.

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Сравнительный анализ 25 моделей машинного обучения и нейронных сетей для классификации временных рядов.

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Исследователи MIT представляют генеративное моделирование молекулярной динамики: многофункциональная искусственная интеллектуальная платформа для ускорения молекулярных симуляций и дизайна.

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Новый метод Microsoft для оптимизации моделей NLP в Azure OpenAI.

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Защита от утечки данных в приложениях с помощью Salesforce AI Research.

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Сравнение функций и преимуществ Codeium и Tabnine.

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20 лучших инструментов для код-ревью для разработчиков ПО.

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Влияние GPT-4 на диагностическое мышление врачей: перспективы для использования ИИ в клинической практике

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YOLO11 выпущен Ultralytics: новые функции для анализа изображений в реальном времени и автономных системах.

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Оптимизатор для PyTorch: упрощение генерации ядер GPU через тензорную алгебру.

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Новые генеративные модели искусственного интеллекта от Liquid AI: серия моделей LFM 1B, 3B и 40B.

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Новая модель для понимания и генерации речи, текста, изображений и видео.

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Microsoft выпустил VoiceRAG: передовой голосовой интерфейс с использованием GPT-4 и Azure AI Search для реального времени разговорных приложений.

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Графовый трансформер для прогнозирования трафика: эффективность и производительность.

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Ученые из Университета Калифорнии в Беркли представляют новый подход к сегментации изображений без необходимости большого объема данных.

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Улучшение эффективности вывода в больших языковых моделях с помощью иерархического глобально-локального моделирования.

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