Research PaperPublished: June 2017~1,45,000 citations recorded
Attention Is All You Need: The Transformer Architecture
Authors: Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Lukasz Kaiser, Illia Polosukhin
Institution / Lab: Google Brain & Google Research
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Paper Abstract & Theoretical Contribution
The foundational scientific paper that introduced the self-attention mechanism, replacing recurrent and convolutional neural networks and giving birth to modern Large Language Models and Generative AI.
Key Experimental Findings & Benchmarks
Replaced sequential recurrence with parallelized multi-head self-attention.
Drastically accelerated training compute efficiency over massive text corpora.
Direct ancestor of GPT, Claude, Gemini, Llama, and all contemporary foundation models.
Taxonomy & Field Classification:
#Transformers#Self-Attention#Deep Learning#Google Brain#Foundation
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