How do you measure "Time to First Token" (TTFT) vs. "Total Runtime"? Which one matters more for user experience in a chatbot?

How would you automate the process of trying to make your model "break" or "hallucinate"?

Why is a standard unit test (asserting that output == "expected") often a bad way to test an LLM? How do you handle a model that gives three different, but correct, answers to the same prompt?

What is a "Golden Dataset" (or Ground Truth set), and how many samples should it ideally contain before you can trust your evaluation metrics?