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Ученые из Toyota Research Institute представляют SUPRA: улучшение эффективности трансформера с помощью рекуррентных нейронных сетей

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Новый набор данных MMLU-Pro для оценки возможностей и производительности больших языковых моделей.

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Улучшение создания обратной связи в образовании с помощью больших языковых моделей

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Исследование: как меняется поведение ChatGPT со временем

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Обеспечение безопасности речевых и языковых моделей: оценка уровня защиты и противодействие угрозам

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Новая семья моделей Google AI для обработки изображений и текста: PaliGemma

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Математическая теория использования гармоник в обучении нейронных сетей

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Лучшие инструменты искусственного интеллекта для режиссеров и продюсеров.

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Большие мультимодельные модели XGen-MM: серия разработок Salesforce Al Research

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Улучшение модульного развертывания искусственного интеллекта на платформе SambaNova SN40L через композицию экспертов.

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30+ Инструментов ИИ для стартапов в 2024 году

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Предлагаемая CMU: модели MOMENT для анализа временных рядов

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Ученые из MIT и Гарвардского университета работают над улучшением надежности искусственного интеллекта: неотложная необходимость в стандартизированных фреймворках происхождения данных

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Новая модель Defog AI для создания SQL-запросов из естественного языка

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Модель глубокого обучения MatterSim для материалов в реальных условиях

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Ученые предлагают новый математический подход для упрощения моделей трансформера

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Алгоритм машинного обучения для изучения скрытых затрат из траекторий.

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Ночная автономная навигация для воздушных аппаратов

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10 пакетов Python, изменяющих рабочий процесс анализа данных

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Представляем Meet Inspect: новую платформу оценки безопасности ИИ от Института безопасности ИИ Великобритании

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