Prompt Engineering Debug Quiz
Quiz covering Troubleshooting
Prompt Engineering Debug 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
If an LLM consistently ignores a specific constraint in your prompt (e.g., 'respond in under 50 words'), what is the most effective first step to troubleshoot?
- 2
You are debugging a prompt that provides inconsistent results for a classification task. Which technique is most likely to improve stability and reliability?
- 3
Your model is 'hallucinating' facts during a retrieval-augmented generation (RAG) task. Which modification is most likely to fix this issue?
- 4
When debugging a prompt that is performing poorly on a multi-step logic task, what is the 'Chain-of-Thought' troubleshooting approach?
- 5
You have optimized a prompt for GPT-4, but when you deploy it to a smaller, faster model (e.g., GPT-3.5 or an open-source equivalent), performance degrades significantly. Why?
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