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Results tagged with transformer
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For questions related to the transformer, which is a deep machine learning model introduced in 2017 in the paper "Attention Is All You Need", used primarily in the field of natural language processing (NLP).
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Can the decoder in a transformer model be parallelized like the encoder?
Can the decoder in a transformer model be parallelized like the encoder?
As far as I understand, the encoder has all the tokens in the sequence to compute the self-attention scores. … In this case, apart from the improvement in capturing long-term dependencies, is using a transformer-decoder better than say an LSTM, when comparing purely on the basis of parallelization? …
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