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Фреймворк DINKEL для генерации запросов в графовых СУБД

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Новый метод улучшает точность и эффективность обработки запросов с использованием LLMs

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Использование кода для улучшения возможностей LLM в различных задачах

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Новая модель искусственного интеллекта от NVIDIA: улучшенная эффективность и производительность.

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Фреймворк DaRec для простой настройки и синхронизации LLM и совместных моделей

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Простая платформа Tinygrad для экспериментов с аппаратной частью в глубоком обучении

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Модель Meta AI для создания персонализированных изображений без настройки под конкретного человека

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Фреймворк MegaAgent: Искусственный интеллект для совместной работы в крупных системах LLM

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Продвижение устойчивости сельского хозяйства: использование дистанционного зондирования, искусственного интеллекта и геномики для улучшения устойчивости.

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Новые функции Microsoft AI: Phi 3.5 mini, MoE и Vision

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Метод EXAL: новый подход к масштабированию обучения в нейросимволическом искусственном интеллекте с улучшенной точностью и эффективностью для сложных задач

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Улучшение принятия решений в больших смешанных патрулях: метод обучения с подкреплением на основе вложенного графа

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Применение парадигмы AI-Based Agents Workflow (AgWf) для улучшения процесса Process Mining (PM) на LLMs

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Фреймворк для разбора логов в реальном времени на основе семантических вложений

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Оценка и улучшение AI моделей с помощью геометрии

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Мощная предобученная модель языка для задач визуализации данных

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Автоматическое проектирование агентных систем: новая задача исследований.

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Алгоритм CarbonClipper: управление нагрузкой с учетом углерода с оптимальным балансом надежности и стабильности.

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Библиотека Formatron: управление форматом вывода языковых моделей без потери производительности

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Гибкий фреймворк для гибридных ВЫЧИСЛЕНИЙ: Квантовые и высокопроизводительные вычисления

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