Your question is Fine-Tuning vs Large Models. 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).
What are the tradeoffs of different deployment approaches, specifically fine-tuning a small model versus using a large model?
Asked in the Phone Screen stage. Explore the architecture, serving, evaluation, and operational implications of both approaches.
Address model quality, adaptation strategy, latency, cost, scalability, privacy, deployment topology, monitoring, and fallback behavior.