Examples and Few-Shot Learning Quiz

5 questions • Pass: 70% • +25 pts

Quiz covering Advanced Prompting

Examples and Few-Shot Learning 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 'few-shot learning' in prompt engineering?

  2. 2

    When designing a few-shot prompt, which of the following practices is most likely to improve model accuracy?

  3. 3

    If a model is failing to follow a complex output format despite clear instructions, what is the best next step?

  4. 4

    What is a potential risk of including too many examples in a few-shot prompt?

  5. 5

    You are building a sentiment analysis tool. You notice the model is correctly identifying sentiment but using inconsistent labels (e.g., 'Positive', 'pos', 'Good'). How should you fix this using few-shot prompting?