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Архитектура Ovis-1.6: Модель совместной обработки текста и изображений.

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Хранилище данных MassiveDS для повышения эффективности и точности языковых моделей в NLP приложениях.

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Новая стратегия сжатия кэша KV на основе L2-нормы для больших языковых моделей

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Влияние весовых коэффициентов в современном глубоком обучении

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Алгоритмы для обучения с подкреплением на ограниченных данных без предварительного обучения

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Тест для взлома крупных языковых моделей: JailbreakBench.

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Исследование из Китая: устойчивое обучение с подкреплением с помощью обратной связи для улучшения работы больших языковых моделей.

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Прерывание вредных результатов искусственного интеллекта с помощью инженерии представлений.

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Salesforce AI представляет семейство трех моделей Judge размером 8 миллиардов параметров 8B, 12B и 70B, созданных с помощью Meta Llama 3 и Mistral NeMO.

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Улучшение моделей генерации изображений с помощью искусственного интеллекта: новый подход.

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Улучшение маммографии с помощью контрастного обучения и предварительного обучения на визуально-языковых данных.

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AMD выпускает AMD-135M: первую серию небольших языковых моделей, обученных с нуля на ускорителях AMD Instinct™ MI250 с использованием 670 млрд токенов.

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Измерение непредсказуемой производительности крупных языковых моделей в пяти ключевых областях человеческого познания.

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Влияние инструментов генерации кода на образование в программировании

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Оценка эффективности машинного обучения в решении уравнений с частными производными: проблемы сравнения и отчетности.

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Инструмент для сбора данных из интернета: открытый веб-сканер Crawl4AI.

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Искусственный интеллект и закон о контрактах: умные контракты и автоматизированное принятие решений.

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Библиотека для PyTorch, ускоряющая и уменьшающая модели.

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RxEnvironments.jl: Реактивное программирование для сложных симуляций в Julia.

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Новое поколение маленьких моделей Voyage-3 и Voyage-3-Lite превосходит OpenAI v3 Large на 7.55%.

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