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 this architecture can achieve superior results in machine translation tasks while being more parallelizable and requiring significantly less time to train. The Transformer has since become a foundational model in natural language processing, influencing numerous subsequent architectures and applications.