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Answer Posted / Akhilesh Kumar Ojha
A sequence-to-sequence (Seq2Seq) model is a type of neural network architecture that learns to map one sequence of data to another. The encoder part of the model reads the input sequence and encodes it into a fixed-length vector, which is then fed into the decoder part to generate the output sequence. Seq2Seq models have wide applications in areas like machine translation, speech recognition, and text summarization.
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