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Новый подход к улучшению эффективности LLM в многоязычных средах.

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Проблема моделирования данных: аналитические выводы и стратегии устранения.

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Методы разделения текста для улучшения генерации (RAG): Полное руководство по оптимизации сегментации текста.

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Ученые из Китая представили INT-FlashAttention: архитектуру квантования INT8, совместимую с FlashAttention, улучшающую скорость вывода FlashAttention на графических процессорах Ampere.

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Метод персонализации для надежных моделей искусственного интеллекта в здравоохранении.

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Использование качественных данных для эффективной разработки языковой модели белков.

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Гибкий и мощный фреймворк AI для создания мультиагентных систем AI.

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Решение FusionANNS: улучшенная производительность, масштабируемость и экономия совместной обработки CPU/GPU.

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Эффективный поиск документов с помощью векторного поиска.

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Ученые представили механизм самокоррекции для улучшения безопасности и надежности больших языковых моделей.

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Применение теории вейвлетов для ускорения обучения моделей языка различных типов данных.

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Почему Adam лучше, чем SGD: объяснение на основе гессиана.

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Улучшение обобщения длины в алгоритмических задачах с помощью повторяющихся трансформеров: исследование проблем n-RASP-L.

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Имеют ли языковые модели культурное понимание? Новый подход UniVaR к представлению высокоразмерных человеческих ценностей.

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Исследование изменений во временном распределении в моделях глубокого обучения для анализа КТГ.

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Улучшение языковых моделей с помощью генерации с поиском: подробное руководство

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Интеллектуальный советник для оценки кардинальности в базах данных.

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Сравнение моделей в машинном обучении: новые возможности.

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Архитектура Ovis-1.6: Модель совместной обработки текста и изображений.

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Хранилище данных MassiveDS для повышения эффективности и точности языковых моделей в NLP приложениях.

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