Seq2Seq (Sequence-to-Sequence) models transform an input sequence into an output sequence, often via an encoder-decoder architecture. It’s widely used in machine translation, text summarization, and speech recognition. Attention mechanisms further enhance Seq2Seq by focusing on relevant parts of the input.