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L0 · Snapshotcs.CL
Attention Is All You Need
Paper in 2 lines~2 min · verification-first
ThesisThe authors propose the Transformer, a network based solely on attention — dispensing with recurrence and convolution entirely.
So whatRemoving sequential computation unlocks far greater parallelization and dramatically faster training — with superior translation quality.
NoveltyThe first transduction model relying entirely on self-attention — no sequence-aligned RNNs or convolution.
Summary confidenceMed
The Procedure
MedThe encoder is 6 identical layers, each with multi-head self-attention and a position-wise feed-forward network, wrapped in residual connections and layer normalization.
40 sources · every claim links to its evidence