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. The Transformer has since become a foundational model in various AI fields, including natural language processing and computer vision, due to its efficiency and effectiveness in capturing long-range dependencies in data.