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, while also being more parallelizable and requiring less training time than previous models. The Transformer has become a foundational model in the field, influencing numerous subsequent architectures and applications, especially in natural language processing.