Your question is Fine-Tuning vs Prompting 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).
Discuss the trade-offs between fine-tuning a model versus using prompt engineering with high-quality context.
Explain how you would choose between the approaches for a production LLM feature. Address data requirements, expected quality improvements, knowledge freshness, latency, inference and development cost, evaluation methodology, and safety risks such as hallucination and prompt injection. Include when you would combine both approaches, and describe a practical rollout plan with offline and online evaluation.
