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Как использовать модели o1 от OpenAI и в чем их отличие от GPT-4

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Искусственный интеллект OneGen: одна модель для поиска и генерации данных.

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Модель Nemotron-Mini-4B-Instruct: от Nvidia для ролевых игр

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Оценка возможностей больших языковых моделей в генерации инновационных идей: результаты исследования с участием более 100 экспертов в области обработки естественного языка

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Библиотека gsplat: инструмент для гауссовского сглаживания данных на Python.

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Развитие анализа социальных сетей: интеграция стохастических блочных моделей, взаимности и байесовских подходов

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Исследователи FutureHouse представляют PaperQA2: первый искусственный интеллект, проводящий полный обзор научной литературы самостоятельно

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Piiranha-v1: Модель для обнаружения PII с точностью детекции токенов 98,27%

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Как Sentence-BERT (SBERT) уменьшает время вычислений при сохранении точности в задачах семантической схожести текста

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Метод GraphEx для рекомендации ключевых фраз рекламодателям на eBay

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9 различных типов усовершенствованной генерации с восстановлением

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Автоматизация обучения с подкреплением с помощью моделей видео-языковых данных: к автономному овладению роботизированными задачами

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Метрика оценки распознавания символов в формулах (CDM): новый подход

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Новый метод оценки надежности медицинских систем ИИ: MedFuzz

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Рецепт блюда “Бьялди” на основе ColPali от Answer.AI

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Фреймворк CogniDual для языковых моделей: развитие от осознанного рассуждения к интуитивным ответам через самостоятельное обучение

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Улучшенная реализация сигмоидного внимания для ускорения работы на GPU.

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Новый метод машинного обучения для оценки уровня конфиденциальности в языковых моделях

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Google AI представляет DataGemma: набор открытых моделей для работы с общими данными через методы RIG и RAG.

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Искусственный интеллект Hume представляет Эмпатичный голосовой интерфейс 2 (EVI 2): новая модель голосового взаимодействия, трансформирующая разговоры с улучшенным эмоциональным интеллектом.

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