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 being more parallelizable and requiring less training time than previous models. The Transformer's success has led to its widespread adoption in various natural language processing tasks, including video generation.