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Новый каталог Snowflake: улучшение совместимости данных с помощью интеграции с открытым исходным кодом Apache Iceberg

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Прогресс и будущие направления в машинном обучении для инженерии белков

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Улучшение производительности модели с 3 миллиардами параметров и усовершенствование языковых моделей с помощью обрезки данных на основе показателя непонятности

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Инновационный подход искусственного интеллекта к разблокировке LLM с использованием визуальных подсказок

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Оценка эффективности искусственного интеллекта и человеческой работы при редких заболеваниях

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Nixtla представляет StatsForecast 1.7.5: улучшение прогнозирования временных рядов с помощью интеграции MFLES и Scikit-Learn.

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Лучшие 15 инноваций в пересечении биотехнологий и искусственного интеллекта в 2024 году

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Университет Висконсина-Мэдисон: новый подход машинного обучения для улучшения устойчивости нулевого обучения.

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Обзор возможностей KerasCV и KerasNLP для развития машинного обучения

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Google DeepMind представляет Zipper: архитектуру мульти-декодера для объединения модальностей

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Библиотека Knock Knock для уведомлений о завершении обучения Python.

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Новый метод оценки качества текстовых объяснений для скрытых нейронов: CoSy (Concept Synthesis)

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Новый метод активного выявления предпочтений для выравнивания больших языковых моделей онлайн

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Оптимизация разреженных нейронных сетей для лучшей динамики обучения и эффективности: SμPar

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Управляемость и предвзятость в языковых моделях: представление многогранных персонажей

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Надежны ли решения на основе искусственного интеллекта в юридических исследованиях?

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Yuan 2.0-M32: новая двуязычная модель языка MoE от IEIT SYSTEMS

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SimPO: эффективное и масштабируемое RLHF для больших языковых моделей

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Новый крупномасштабный набор данных FineWeb для предварительного обучения моделей LLM

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Улучшение производительности приложений LLM через семантические переменные

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