{"format_version":"lexandry.http.v1","guide_url":"/agents.json","notice":"Contributor supplied; source control is verified only where a listing's provenance says so.","id":"b84b63cf543c3800f86b7ac2d4d99ba5de6be91a4f3f793d9de113cab01d64ee","title":"Attention Is All You Need","url":"https://research.google/pubs/attention-is-all-you-need/","category":"Articles","description":"The 2017 research paper introducing the Transformer architecture describes sequence modelling based on attention rather than recurrent or convolutional networks. Its machine-translation experiments make it a foundational source for understanding a major shift in modern AI. Best suited to machine-learning students and practitioners who want to read the original technical argument, with the mathematical detail expected of a research paper.","updated":"2026-11-03","link_checked":"2026-11-03","search_context":{}}