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Новая система для эффективного долгосрочного планирования с использованием языковых моделей

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Как обмануть искусственный интеллект: стратегии атаки и уязвимости больших языковых моделей

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Мультиязычный ИИ с большим контекстом и высокой производительностью

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Модель NV-Retriever-v1 от Nvidia AI: оптимизированная для поиска embeddings

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Датасет LEAN-GitHub для развития автоматического доказательства теорем

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Новый набор данных и арена для оценки систем Retriever-Augmented Generation

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Автоматизация рабочих процессов с анализом данных, вызовами API и бизнес-действиями с помощью Manaflow.

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Видео-модель SF-LLaVA: без обучения и настройки для различных видеозадач

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Курсы по крупным языковым моделям

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Фреймворк TaskGen: использование искусственного интеллекта для решения задач путем их разбиения на подзадачи.

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Новый метод для создания эффективных мультимодальных систем машинного обучения

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Новый подход к управлению ИИ: переосмысление порогов вычислений

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Новые модели языка Minitron 4B и 8B от Nvidia: ускорение обучения на 40 раз с помощью обрезки и сжатия.

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Искусственный интеллект Nvidia предлагает ChatQA 2: модель на основе Llama3 для улучшенного понимания длинных контекстов и возможностей RAG

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Прогнозирование показателей Целей устойчивого развития к 2030 году: подход на основе машинного обучения с моделями ARIMAX и линейной регрессии

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Google Deepmind представляет BOND: новый метод обучения с подкреплением для улучшения стратегии через онлайн-дистилляцию выборки лучших действий.

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DVC.ai выпустил DataChain: библиотеку на Python для обработки и систематизации больших объемов неструктурированных данных.

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Оценка кибербезопасности моделей LLM: новый широкий фреймворк CyberSecEval 3

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Новый метод измерения точности больших языковых моделей с улучшенным поиском

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Платформа Laminar AI: ускорение разработки надежных приложений с использованием искусственного интеллекта.

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