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Transformer encoder -> Transformer decoder #2606

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Transformer encoder -> Transformer decoder #2606

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2 changes: 1 addition & 1 deletion chapter_attention-mechanisms-and-transformers/large-pretraining-transformers.md
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Expand Up @@ -270,7 +270,7 @@ as its backbone :cite:`Radford.Narasimhan.Salimans.ea.2018`.
Following the autoregressive language model training
as described in :numref:`subsec_partitioning-seqs`,
:numref:`fig_gpt-decoder-only` illustrates
GPT pretraining with a Transformer encoder,
GPT pretraining with a Transformer decoder,
where the target sequence is the input sequence shifted by one token.
Note that the attention pattern in the Transformer decoder
enforces that each token can only attend to its past tokens
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