Seq2Seq (Sequence-to-Sequence)

Seq2Seq Architecture

Deep learning model composed of an encoder and a decoder designed to transform variable-length sequences into other sequences. This architecture is fundamentally used for machine translation, text summarization, and dialogue generation tasks.

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