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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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Математический чат для изучающих английский: новые возможности для общения

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Новая модель Transformer для проблемы коммивояжера

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Лучшие открытые графовые базы данных

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Курсы по искусственному интеллекту от Intel

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Майкрософт представляет Aurora: модель атмосферы на основе миллионов часов данных о погоде и климате

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Понижение стоимости обучения больших языковых моделей с помощью метода LLM-QFA Framework

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Можно ли LLM самостоятельно улучшить свою производительность в сложных задачах с длительным горизонтом веб-арены?

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