Attention is all you need

This paper introduces the Transformer, a novel neural network architecture based solely on attention mechanisms, dispensing with recurrence and convolutions entirely. It demonstrates that attention mechanisms alone can achieve state-of-the-art results in machine translation tasks, outperforming existing models while being more parallelizable and requiring less training time. The Transformer has since become a foundational model in natural language processing, influencing numerous subsequent architectures and tasks.