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Transformer AI

arXiv:10.48550/arXiv.1706.03762[2023]
u/susan15383·DOI·Source|

AI Summary

The dominant sequence transduction models are based on complex recurrent or convolutional neural networks in an encoder-decoder configuration. The best performing models also connect the encoder and decoder through an attention mechanism. We propose a new simple network architecture, the Transformer, based solely on attention mechanisms, dispensing with recurrence and convolutions entirely.

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