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Microsoft выпустил SuperBench: систему проверки для улучшения надежности облачной ИИ-инфраструктуры.

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Улучшение устойчивости к предвзятости в машинном обучении социальных наук: обещание моделей на основе инструкций

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KOALA: Оптимизация шаблона для улучшения заголовков

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Могут ли LLM видеть графику? Оценка понимания символьных программ в искусственном интеллекте

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Новый метод обучения коммуникации для улучшения принятия решений.

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Система AtomAgents: разработка металлических сплавов с помощью искусственного интеллекта.

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Искусственный интеллект Saphira: платформа для революционной безопасности аппаратного обеспечения

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Новый алгоритм линеаризации для динамических систем: DDL на основе данных

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Набор данных ArabLegalEval для оценки знаний арабских юристов

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Предложение исследователей из Google DeepMind для гибкой классификации изображений: динамическая визуальная память.

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Исследование 27 сложностей разработки больших языковых моделей: анализ 29 000 сообщений на форумах разработчиков и 54% нерешенных проблем

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Проблемы внедрения Retrieval Augmented Generation (RAG) в производство

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Искусственный интеллект для финансовых аналитиков: знакомство с решениями AI

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Инструмент для оценки производительности и анализа диалогов чатботов: FlexEval

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Исследователи USC представляют Safer-Instruct: новый метод для автоматического создания больших объемов данных о предпочтениях

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Улучшение понятности обучения с подкреплением с помощью временного разложения вознаграждения

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Библиотека UniBench для оценки устойчивости моделей видео-языкового восприятия (VLM) на различных тестах

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Исследователи NYU и Meta AI предлагают E-RLHF для борьбы с обходом защиты LLM

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Фреймворк для улучшения взаимодействия с искусственным интеллектом в расширенной реальности через отслеживание глаз и интеграцию контекстуальной памяти.

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Как часто модели языка воспроизводят галлюцинации: выводы из обучения на знаниевых графах и сложности их обнаружения

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