Attention Is All You Need (paper)

"Attention Is All You Need" introduces a new way for computers to understand language and other data by focusing on relevant parts of the input directly, without relying on traditional step-by-step processes. It uses a mechanism called "attention" that allows the model to weigh the importance of each word or element relative to others, enabling more efficient and accurate processing. This approach forms the basis of the Transformer architecture, which has significantly improved tasks like translation, summarization, and question-answering, making models faster and better at capturing complex relationships in data.