<?xml version="1.0" encoding="UTF-8"?><resource xmlns="http://datacite.org/schema/kernel-4"><identifier identifierType="URL">https://inrepscholar.com/projects/965</identifier><creators><creator><creatorName>Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Lukasz Kaiser, Illia Polosukhin</creatorName></creator></creators><titles><title>attention-is-all-you-need-2024-001</title></titles><publisher>UFTAN UNIVERSITY</publisher><publicationYear>2024</publicationYear><resourceType resourceTypeGeneral="Text">Final Year Project</resourceType><descriptions><description descriptionType="Abstract">This record links to the original Transformer paper, which introduced a sequence modelling architecture based entirely on self-attention. It is useful for repository testing because it contains formal architecture descriptions, experiments, equations, references, and a complete scholarly PDF workflow.</description></descriptions></resource>