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 this model architecture can be superior in quality, more parallelizable, and requires less time to train, achieving state-of-the-art results in machine translation tasks.