Attention is All You Need

This paper introduces the Transformer, a novel neural network architecture based solely on attention mechanisms. It avoids using recurrence and convolutions entirely, enabling parallelization and significantly reducing training time. The Transformer achieves state-of-the-art results in machine translation tasks, demonstrating the effectiveness of attention mechanisms for sequence-to-sequence modeling.