Your question is Personalized Guidance with LLMs. Take a moment with it on the right.
Talk me through your thinking if you like. When you're confident, submit your answer and I'll grade it like a real screen (7/10 or better passes).
You're building a system where a language model needs to give personalized guidance based on a user's profile, prior interactions, and stated goals. You need to decide when prompt design is enough and when task-specific fine-tuning is worth the added complexity.
How would you fine-tune or prompt-engineer a large language model for personalized guidance?