Sequence-to-sequence model

A sequence-to-sequence (seq2seq) model is a type of artificial intelligence that converts one sequence of data into another, such as translating a sentence from one language to another or summarizing text. It works by processing the input sequence step-by-step to understand the overall meaning, then generating an output sequence based on that understanding. Think of it like a translator or summarizer that reads, interprets, and then produces a new version of the content. This approach is widely used in language tasks, speech recognition, and other applications involving sequential data.