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Экономия на LLM с помощью квантования и эффективного донастройки: как бизнес может выиграть от Генеративного искусственного интеллекта при ограниченных ресурсах?

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Достижение точной сегментации изображения с ограниченными данными: стратегии и методы

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6 прогнозов AI на 2024 год от экспертов deepsense.ai

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Создание данных с помощью моделей диффузии. Часть 3: Быстрое создание пользовательских данных

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Значимое достижение в мире искусственного интеллекта

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deepsense.ai в числе лучших 50 поставщиков ИИ в Центральной и Восточной Европе

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Проблема оценочного расстройства (EDS) в ГенИИ с ограниченным доступом к графическим процессорам. Часть 1: основы развития, основанные на оценке.

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Как создать своего помощника по написанию кода: быстрый результат и избегание ошибок

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LangChain объявляет партнерство с deepsense.ai

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Быстрая платформа для вывода LLM с поддержкой устройств, квантованием и совместимым HTTP-сервером Open-AI API.

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Новый метод объяснения моделей машинного обучения: T-Explainer

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Революция в обучении с длительным контекстом: новые возможности для клиник и врачей

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“Новая статья от Google DeepMind: улучшенные возможности обучения с многократным контекстным обучением”

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Обязательство OpenAI по обеспечению безопасности детей: принятие принципов безопасности на этапе проектирования.

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“Новые функции для клиник и врачей: уровень корпоративных возможностей API”

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Представляем OpenAI Japan: выгода для клиник и врачей

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Улучшения API для настройки и расширение программы наших пользовательских моделей.

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Начните использовать ChatGPT немедленно

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Использование синтетических голосов в клиниках: преимущества и возможности

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Первые впечатления: улучшение для клиник и врачей

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