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Понимание запоминания в диффузионных моделях: статистико-физический подход к данным на многообразиях

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Совпадение траекторий: алгоритм обучения нейронных дифференциальных уравнений без симуляций

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OpenWebVoyager: Создание многомодальных веб-агентов через итеративное исследование, обратную связь и оптимизацию

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15 лучших генераторов названий для бизнеса с помощью ИИ

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Новая методика передачи знаний между моделями ИИ от Google Research

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Meta AI представила Sparsh: первый универсальный энкодер для тактильного восприятия на основе зрения

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Расшифровка арифметического мышления в LLM: роль эвристических схем и обобщенных алгоритмов

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Леопард: Модель для работы с текстом и изображениями

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Исследователи Корнелла представили QTIP: алгоритм квантования веса после обучения с выдающимися результатами.

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Геометрический анализ признаков языковых моделей: от простых паттернов до сложных структур

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Исследователи KAUST увеличивают эффективность GPU с помощью метода Андерсона для улучшения точности моделей.

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KVSharer: Метод машинного обучения, который делит кеш KV между слоями для сжатия данных.

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iP-VAE: Спайковая нейронная сеть для итеративного байесовского вывода и максимизации ELBO

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Улучшение reasoning искусственного интеллекта с помощью адаптивных температурных техник для решения проблем с Softmax в принятии решений.

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Новые подходы к использованию и оптимизации многомодальной системы RAG для промышленных применений.

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Promptfoo: Инструмент ИИ для тестирования и оценки приложений LLM

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Llama-3-Nanda-10B-Chat: Открытая языковая модель для хинди с передовыми возможностями обработки языка.

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AMD выпустила открытый исходный код модели языка AMD OLMo, обученной с нуля на GPU AMD Instinct™ MI250.

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Открытие кода OpenHands CodeAct 2.1: новый агент для разработки ПО, решающий более 50% реальных проблем на GitHub в SWE-Bench

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WACK: Улучшение обнаружения галлюцинаций в языковых моделях с помощью специализированных наборов данных и методов подсказок

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