Your question is Choose Between LLM API and Fine-Tuning. 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 building an NLP feature for a product that needs to answer or classify user text with consistent quality. Your team is deciding between calling a foundational LLM API and hosting a smaller open-source model that you fine-tune on your own data. The choice affects accuracy, latency, cost, privacy, and how much control you have over model behavior.
Explain the trade-offs between using a foundational LLM API versus hosting a smaller, fine-tuned open-source model.