179 questions
No questions match those filters.
← All questions
Retrieval & EmbeddingsHard· Conversational AI· Evaluation· Training Data
Offline metrics for a conversational retriever look fin...
This is one of the questions in the full AI/ML interview bank. Pro unlocks all 1789 questions; Premium includes the same bank plus the highest daily Practice limit.
See plansThe issue likely stems from a mismatch between the training distribution and the actual user task. If the training data consists only of single-turn queries, the model lacks the ability to handle context-dependent turns. You must evaluate whether to implement dialogue-level generation, which couples the index to a dialogue format, or to use a rewriter in front of a single-turn retriever to maintain a standard index.