attention-is-all-you-need-2024-001

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.

Metadata

Author

Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Lukasz Kaiser, Illia Polosukhin

Supervisor

Prof. Chinedu A. Okafor

Faculty

Science

Department

Computer Science

Document type

Final Year Project

Year

2024

Keywords

transformer architecture, self attention, neural machine translation, sequence modelling, deep learning

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Metadata

License

all_rights_reserved

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