How would you answer an interview scenario involving Large Language Models?

For an interview scenario involving Large Language Models, I would first clarify the business goal, scale, constraints, and the failure or quality attribute the interviewer wants to explore. Large Language Models are neural models trained on large text corpora to predict and generate language. In this scenario, for a customer-support assistant, explain how you would control hallucinations, validate answers, protect sensitive data, and measure response quality. I would then explain the main alternatives and tradeoffs, identify likely failure modes, and describe how I would validate the solution through testing, observability, security controls, and recovery or rollback planning.