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 superior speed and quality compared to previous models. Its self-attention mechanism allows for parallel computation and captures long-range dependencies more effectively, making it a foundational model for many subsequent AI writing assistants and natural language processing applications.