Transformer Networks

Transformer models are advanced neural network architectures used in natural language processing that leverage self-attention mechanisms to weigh the importance of different words in a sequence. This allows for capturing long-range dependencies effectively, leading to improved understanding and generation of natural language. They form the basis of many state-of-the-art models like GPT and BERT.