Welcome to your interview.
The question is on your right: Approach LLM Fine-Tuning for Tasks. Take a moment with it first.
Talk your thinking through with me if you like - when you're confident, submit your answer and I'll grade it like a real screen (7/10 or better passes). Discussion and graded submissions share your five interviewer interactions, so spend them well.
You have a general-purpose language model, but your product needs more consistent behavior on a specific task such as customer support response drafting, dispute reason classification, or policy-grounded answer generation. The base model works reasonably well with prompting, but quality is uneven and you are considering fine-tuning.
Can you explain how you would approach fine-tuning a large language model for a specific task?