A/B Testing Quiz

5 questions Pass: 70% +25 pts

Quiz covering Model Evaluation and AI Safety

A/B Testing Quiz

5 questions | Pass: 70% | Earn 25 points

Questions in this quiz

A preview of the 5 questions covered. Start the quiz above to answer them, check your score, and read the explanations.

  1. 1

    What is the primary purpose of conducting an A/B test when deploying a new version of a language model?

  2. 2

    When performing A/B testing on an AI chatbot, which of the following is considered a 'North Star' metric for user satisfaction?

  3. 3

    You are A/B testing a model's safety guardrails. If Version A has higher safety scores but significantly lower user engagement than Version B, what is the best next step?

  4. 4

    Which of the following scenarios describes a 'Novelty Effect' that could bias your A/B test results?

  5. 5

    In a sophisticated A/B testing setup for LLMs, why is 'statistical significance' (p-value) insufficient on its own to declare a winner?