Interview Guides
You have fine-tuned an open-source foundation model for a domain-specific text task, and you want to know whether it is actually better than a commercial LLM API for production use. The team cares about answer quality, factual accuracy, and whether the fine-tuned model fails in different ways than the API.
How would you evaluate the performance and accuracy of a fine-tuned open-source foundation model compared to a commercial API?
