Submitting the final quiz unlocks your grade, Leaderboard points, and Certificate.
◆Only one answer is 100%. Others may count 75% or 50% — your final grade reflects this. At the end you'll see the correct answers for all questions.
⚠️Only your first submission counts to the Leaderboard and Grade.
1. What is the first principle of writing an effective prompt?
2. What is the benefit of using Chain-of-Thought (CoT) reasoning in prompt engineering?
3. How can recency bias be mitigated in language models?
4. How does few-shot prompting improve model performance?
5. Which type of reasoning involves drawing a specific conclusion from general premises or assumptions?
6. What is one key strategy to mitigate majority label bias in prompts?
7. Why is specifying task constraints like “MANDATORILY” or using capital letters in prompts useful?
8. What does “Chain-of-Thought” prompting improve most significantly in model outputs?
9. Which of the following best describes inductive reasoning in language models?
10. Why is it important to test prompts using real-world inputs?
