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Инструмент для настройки больших моделей искусственного интеллекта: XTuner

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Ускорение вывода больших языковых моделей с помощью LayerSkip: комплексное решение на основе искусственного интеллекта

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Новая статья от Принстонского университета и Стэнфорда: CRISPR-GPT для улучшения генной редакции

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Сравнение людей и искусственного интеллекта в различных задачах

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Когда трансформеры могут мыслить абстрактными символами?

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Поля множественного диффузионного потока

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Улучшение AdvPrompter: новый метод ИИ для создания читаемых человеком адверсарных подсказок

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PyTorch представляет ExecuTorch Alpha: решение для развертывания больших языковых моделей и моделей машинного обучения на краю.

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Новое понимание архитектуры U-Net от исследователей из Университета Калифорнии в Беркли через призму генеративных иерархических моделей

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Совмещение символьного и нейронного подходов в искусственном интеллекте

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Сравнение бесплатных площадок для LLM

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Новый тест для оценки кибербезопасности с применением машинного обучения

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Управление авторскими правами в технологиях генеративного искусственного интеллекта: подход игровой теории сотрудничества.

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Новая работа из Китая о TinyChart: эффективные мультимодальные модели для понимания графиков с всего 3 миллиардами параметров

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Исследование эффективных стратегий настройки больших языковых моделей

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Эффективное определение стадий сна с использованием предварительно обученных трансформеров с предсказанием позиции.

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Точное и быстрое обучение для распознавания изображений с помощью CatLIP

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Подумай, прежде чем писать: проверка гипотез способствует точной генерации знаний в тексте

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Оптимизация моделей машинного обучения для эффективного вывода с помощью Talaria

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Эффективная семья языковых моделей OpenELM с открытой системой обучения и вывода

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