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. The Transformer model achieves state-of-the-art results in machine translation tasks, demonstrating significant improvements in both translation quality and computational efficiency. It has since become a foundational model for various natural language processing tasks.