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Как искусственный интеллект и машинное обучение меняют кибербезопасность и усиливают киберугрозы

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Улучшение математического решения проблем с помощью интегрированного инструмента и Python REPL.

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Защита от вредоносных атак на языковые модели с помощью самооценки: исследование из Национального университета Сингапура

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SenseTime представила SenseNova 5.5: новый стандарт, конкурирующий с GPT-4o по 5 из 8 ключевых метрик.

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Обучение общего языковой модели для экспертных навыков в Lean4

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Как искусственный интеллект защищает культурное наследие

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Платформа для анализа документов с открытым исходным кодом

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Платформа Lytix: исследования, тестирование и аналитика для вашего LLM-стека с минимальными изменениями кодовой базы

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Метод обучения с учителем, вдохновленный работой мозга, для адаптации домена создания данных

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Создание функциональных растворимых белков с помощью глубокого обучения

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Искусственный интеллект Plandex для кодирования в терминале

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Google DeepMind представляет JEST: Новый метод обучения искусственного интеллекта в 13 раз быстрее и в 10 раз эффективнее.

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Эффективное обучение нейронных сетей с временным сжатием данных

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Google Cloud теперь доступен для пользователей HuggingFace.

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Опасность скрытая в моделях ИИ: как пробел влияет на безопасность

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NVIDIA представляет RankRAG: новый фреймворк для RAG, который настраивает инструкции для одного LLM для ранжирования контекста и генерации ответов.

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Обзор управляемого обучения: методы, применение и вызовы в поиске информации

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Новый метод нападения МАЛТ (Мезоскопическая почтилинейная нацеливание): основан на предположениях о почтилинейности среднемасштабной атаки.

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Обучение искусственного интеллекта для бизнеса: четыре этапа и новые возможности.

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Искусственный интеллект для создания приложений без кода: Meet Booth AI

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