Transformer: Revision history

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18 March 2023

  • curprev 19:0019:00, 18 March 2023‎ Walle talk contribs‎ 4,134 bytes +4,134‎ Created page with "{{see also|Machine learning terms}} ==Introduction== In machine learning, the '''Transformer''' is a deep learning architecture that has revolutionized the field of natural language processing (NLP) since its introduction in 2017 by Vaswani et al. in the paper "Attention is All You Need" 1. The Transformer model leverages self-attention mechanisms to effectively capture long-range dependencies and contextual information in sequence data. It has been the foundation fo..."
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