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Новая архитектура для LLM: явный механизм памяти для повышения эффективности и производительности

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Лучшие курсы по искусственному интеллекту, машинному обучению и науке о данных от Udacity

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Исследования Salesforce AI: новый инструмент для создания разнообразных наборов данных.

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Как решить, покупать или создавать генеративные ИИ решения: 5 ключевых факторов

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Исследователи Google делятся практическими идеями по сжатию моделей через дистилляцию знаний

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Влияние AI Copilot на производительность в развитии языка Ada

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Как избежать переобучения в нейронных сетях: метод Dropout

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Как популярные знания улучшают точность LLM: пересмотр дизайна набора данных для QA

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Предложение исследователей из CMU: XEUS – универсальный речевой кодер для 4000+ языков

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Новый способ взлома тюрем с помощью искусственного интеллекта от Microsoft

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5 эффективных шаблонов дизайна для агентов LLM в реальных приложениях

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Простая базовая модель для обучения на основе подкрепления без использования сложных моделей или вычислительных ресурсов.

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Ученые из NASA и IBM представляют INDUS: набор крупных языковых моделей для научных исследований

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Метод ускорения обучения LLM AI путем выборочной настройки слоев на основе их отношения сигнал/шум

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Основные компоненты искусственного интеллекта: разговор, цепочка и агент

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Улучшение больших языковых моделей с помощью Cohere for AI: оптимизация синтетической генерации данных для повышения производительности и снижения предвзятости.

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Как автоматически расширить экспертных агентов до мультиагентных систем с помощью эволюционного алгоритма.

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Продвижение устойчивости через автоматизацию и искусственный интеллект в биопереработке на основе грибов

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Модель искусственного интеллекта Moshi: мультимодальная система для прослушивания и разговора в реальном времени

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