Attention Is All You Need
The original Transformer paper, proposing an attention-based architecture for sequence modelling.
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What the paper contributes
This paper introduced the Transformer architecture, using attention in place of recurrence and convolutions for its sequence-transduction model. It evaluates the approach on translation tasks.
How to read it
Separate the architecture described in the paper from later models and production systems built around related ideas. Its reported results belong to the experimental settings in the paper, not every application using attention.
Original source
This is a short editorial introduction. Follow the source link for the authors, experiments, methodology, and limitations.

