Attention Is All You Need

Attention Is All You Need is a 2017 paper by Google researchers that introduced the transformer architecture.

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Attention Is All You Need is a machine translation paper published by Google researchers in 2017. It proposed the transformer, an architecture that processes text with attention mechanisms alone, without recurrent neural networks.

The transformer became the basis of most generative AI models, including large language models, and the paper is counted among the most cited papers in AI.

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…50s, neural network work advanced through the 1980s and 1990s, and in 2017 the Google paper "Attention Is All You Need" introduced the transformer architecture.


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