In the context of Sequence Transduction Models, which of the following statements best illustrates the concept of overfitting in their application to various business domains?

Overfitting in sequence transduction models shows up when a model learns the training data too well and misses real‑world patterns. For example, a language‑translation model that scores perfectly on the training corpus but produces nonsense sentences for new, unseen phrases demonstrates overfitting. The key idea is that the model captures noise or idiosyncrasies of the training set rather than true underlying relationships. In a business setting, this could mean a customer‑service chatbot that answers perfectly in the training dialogues but fails to respond correctly to new user questions, because it memorized the training examples instead of learning general conversational rules.