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Новые горизонты в понимании контекста искусственным интеллектом: Llama-3-8B-Instruct-80K-QLoRA

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Обучение сопоставительного представления Poly-View

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Законы и рамки управления искусственным интеллектом (ИИ)

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Сети Колмогорова-Арнольда (KANs): Новый уровень понятности и точности в глубоком обучении

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Улучшение задач рассуждения в языковых моделях с помощью итеративной оптимизации предпочтений

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Обучение нейронных сетей для декодирования и суммирования кода: проблемы и вызовы

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Исследование из MIT и Harvard: использование искусственного интеллекта для автоматической гипотезы и тестирования в среде.

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Платформа Pyte: сохранение конфиденциальности данных на всех этапах их жизненного цикла

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Huawei AI представляет “Кенгуру”: новая система самоспекулятивного декодирования, ускоряющая вывод больших языковых моделей

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Ученые из Стэнфорда и Amazon разработали STARK: крупномасштабный бенчмарк для поиска полуструктурированных данных в текстовых и реляционных базах знаний

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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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