Your question is Fine-Tuning vs Prompt Engineering. 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).
Explain the difference between fine-tuning and prompt engineering in the context of LLMs.
Contrast how each approach changes model behavior, what data and infrastructure it requires, and how it affects quality, cost, latency, and maintainability. Include a practical decision framework, an evaluation plan, and important safety considerations such as hallucination and prompt injection.