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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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Топ-12 популярных рейтингов моделей искусственного интеллекта: руководство по оценке.

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Как нейробиология вдохновляет искусственный интеллект: фреймворк HippoRAG для долгосрочной памяти LLM

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Фреймворк SymbCoT: интеграция символьных выражений и логических правил с помощью CoT.

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Новый метод кодирования позиций, учитывающий контекст.

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Курсы искусственного интеллекта от IBM

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API LlamaParse для эффективного разбора и представления файлов с использованием фреймворков LlamaIndex

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Сложность данных и законы масштабирования в нейронных языковых моделях

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Метод NEST для улучшения достоверности и атрибуции языковых моделей

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Фреймворк MetRag: улучшенная система поиска и генерации мыслей.

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Лаборатория исследований SEAL Scale AI запускает экспертно оцененные и надежные рейтинги LLM.

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Новый метод объединения языкового понимания LLM и аналитических способностей GNN для создания текстов в стиле RAG

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Как RAG помогает Transformers создавать настраиваемые большие языковые модели: подробное руководство

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Защита от атак на подмену информации в системах Retrieval-Augmented Generation (RAG)

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LLM360 представляет K2: полностью воспроизводимую модель большого языка с открытым исходным кодом, эффективно превосходящую Llama 2 70B на 35% при использовании меньшей вычислительной мощности

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Улучшение эффективности и гибкости в мультимодельном машинном обучении с помощью адаптивной визуальной токенизации.

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