Answer / Manoj Kumar Tiwari

In Machine Learning, encoder and decoder refer to two main parts of Seq2Seq models. The encoder takes an input sequence (e.g., a sentence) and transforms it into a fixed-length vector representation that can be processed by the decoder. The decoder generates an output sequence based on the encoded representation.

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