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).
You are working with a language model for a business workflow where the output quality matters, but the team also wants to move quickly and keep maintenance low. You need to decide whether to adapt the model with training data or shape its behavior through prompts.
What are the trade-offs between fine-tuning and prompt engineering?