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Answer Posted / Chandra Singh Gunjiyal
Sequence-to-sequence model is a type of neural network architecture that learns to map input sequences (like sentences or speech) to output sequences (like translations or captions). It typically consists of an encoder, decoder, and attention mechanism.
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