Нейросети. Обработка естественного языка. Джейд Картер
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СКАЧАТЬ к обучению на больших объёмах данных и обобщению на различные задачи.

      BERT (Bidirectional Encoder Representations from Transformers) и GPT (Generative Pre-trained Transformer) – это две мощные модели для работы с естественным языком (Natural Language Processing, NLP). Они используют архитектуры Transformer для различных задач NLP, но они имеют разные цели и способы использования. Давайте рассмотрим каждую из них с подробным описанием и примерами использования.

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