Attention is all you need

This paper introduces the Transformer, a novel neural network architecture based solely on attention mechanisms. It dispenses with recurrence and convolutions entirely, achieving state-of-the-art results in machine translation tasks. The Transformer's parallelizable nature and reliance on attention make it more efficient and effective for processing sequential data.