Detailed Explanation
Introduced in the 2017 paper 'Attention Is All You Need' by Google researchers, the Transformer is a deep learning architecture that revolutionized Natural Language Processing. It relies on a mechanism called 'self-attention', allowing the model to weigh the importance of different words in a sentence regardless of their position. This architecture enables parallel processing of data and is the foundation for models like GPT, BERT, and Gemini.