Model Evaluation Quiz

5 questions • Pass: 70% • +25 pts

Quiz covering GenAI Model Lifecycle

Model Evaluation 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 evaluating a Generative AI model after it has been trained?

  2. 2

    When evaluating a Large Language Model (LLM) for a customer support chatbot, which metric is most useful for identifying if the model is providing factually incorrect information?

  3. 3

    Which of the following describes the 'Human-in-the-Loop' (HITL) approach in the model evaluation lifecycle?

  4. 4

    Why is it important to use a 'Hold-out' test set that was not part of the training data during model evaluation?

  5. 5

    In a scenario where a model is evaluated using 'LLM-as-a-judge,' what is the primary risk that engineers must mitigate?