Your question is Fine-Tuning vs RAG Trade-offs. 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).
Can you explain the trade-offs between fine-tuning a model versus using RAG (Retrieval-Augmented Generation) for a monitoring use case?
Discuss when each approach is appropriate, how you would evaluate answer quality and operational reliability, and whether a hybrid architecture is justified. Address freshness, hallucination risk, latency, cost, privacy, and maintenance.