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Эффективное параллельное обучение минимальных LSTM и GRU.

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Новая технология NVIDIA для чатботов в компаниях: FACTS

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Модель Lotus для предсказания плотной геометрии на основе диффузии.

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Изучение обучения с подкреплением в LLM с разреженными автоэнкодерами.

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Новый генератор видео на основе LLM, способный создавать видео продолжительностью одну минуту.

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Какие результаты дает объединение моделей диффузии и авторегрессии? Этот научный доклад расскрывает создание совмещенной диффузии.

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Открытые данные для обучения моделей речи на европейских языках.

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Применение искусственного интеллекта и интернета вещей в здравоохранении: новации, вызовы и перспективы в прогнозировании и управлении хроническими и терминальными заболеваниями.

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15 способов использования ChatGPT для рекрутеров.

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Оценка моделей LMM на 1000 видео с подписями.

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Использование обратной связи выполнения в синтезе кода с помощью обучения с подкреплением.

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Rev выпустил новые модели искусственного интеллекта для распознавания речи и диаризации, превосходящие текущие модели.

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Обнаружение поддельных изображений с помощью искусственного интеллекта: простой подход

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Улучшение обработки длинного контекста с помощью Role-RL: фреймворк обучения с подкреплением для эффективного развертывания крупных языковых моделей.

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Сложность в создании кода большими языковыми моделями: вероятностный подход.

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Новый бенчмарк для оценки способностей к рассуждению крупных языковых моделей.

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Выбор инструментальной переменной с помощью LLM для улучшения причинно-следственного вывода

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15 способов использования ChatGPT для банков.

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Google выпустил Gemma-2-JPN: модель ИИ для обработки японского текста.

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Фреймворк FactAlign для улучшения достоверности длинных ответов LLM.

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