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What is Transformer (Deep Learning Architecture) - Wikipedia about?

The transformer is a deep learning architecture introduced by Google in 2017, utilizing a multi-head attention mechanism to process tokens in parallel, thus improving training efficiency compared to recurrent neural networks. It has been widely adopted in various fields, particularly natural language processing, and has led to the development of models like BERT and GPT. The architecture consists of tokenizers, embedding layers, and transformer layers that extract linguistic information through attention me

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sbalani

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EN