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Оптимизатор для PyTorch: упрощение генерации ядер GPU через тензорную алгебру.

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Новые генеративные модели искусственного интеллекта от Liquid AI: серия моделей LFM 1B, 3B и 40B.

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Новая модель для понимания и генерации речи, текста, изображений и видео.

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Microsoft выпустил VoiceRAG: передовой голосовой интерфейс с использованием GPT-4 и Azure AI Search для реального времени разговорных приложений.

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Графовый трансформер для прогнозирования трафика: эффективность и производительность.

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Ученые из Университета Калифорнии в Беркли представляют новый подход к сегментации изображений без необходимости большого объема данных.

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Улучшение эффективности вывода в больших языковых моделях с помощью иерархического глобально-локального моделирования.

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Анализ уязвимостей техник забывания в больших языковых моделях: подробное белое ящиковое исследование.

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10 способов использования ChatGPT в бизнесе

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Метод IVG: объединение неявных и явных функций ценности для анализа данных.

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Модель Prithvi WxC для погоды и климата: 2.3 миллиарда параметров от IBM и NASA.

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Исследователи из KAIST и Google AI представляют метод BCD для повышения эффективности и связности языковых моделей.

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Искусственный интеллект для улучшения моделирования распространения видов с помощью геопространственных данных и глубоких нейронных сетей.

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CoAgents CopilotKit: Простое подключение агентов LangGraph к людям.

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Новый метод тестирования биомедицинских моделей видения: RadEdit.

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Метод обучения искусственного интеллекта для эффективного обучения LLM на больших наборах данных.

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Исследование усвоения и сохранения фактических знаний в больших языковых моделях.

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Python-фреймворк для быстрой и масштабируемой обработки данных LLM.

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Улучшение логического мышления в больших языковых моделях через добавление предикативной логики.

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Метод улучшает внимание нейросети без изменения параметров

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