Attention Is All You NeedPDF Download

The Transformer replaces recurrence with attention-based components for sequence modeling. The paper lays out the encoder, decoder, positional information, and training choices behind that architecture.

It is easier to read after tracing a single token through the model. The title is memorable, but the diagrams and ablation results explain much more than the slogan.