A decoder is a component in neural networks, particularly in sequence-to-sequence models, that transforms encoded information back into a target sequence, often in natural language processing tasks. It works by predicting the next item in a sequence given the previous items and the encoded context, leveraging mechanisms like attention to improve accuracy and relevance.