Attention Is All You Need

The paper 'Attention Is All You Need' introduced the Transformer architecture, which relies solely on self-attention mechanisms, eliminating the need for recurrent neural networks.

This innovation has significantly improved performance in tasks like machine translation and language modeling, and its impact extends beyond natural language processing.