Attention is All You Need

This paper introduces the Transformer, a novel neural network architecture based solely on attention mechanisms. Unlike previous models that relied on recurrent or convolutional layers, the Transformer enables parallel processing of sequences, leading to significant improvements in translation quality and training efficiency. It has become a foundational model for numerous NLP tasks.