Prompt Optimization Techniques Quiz

What you'll be asked

1. Which of the following is the most effective way to improve the quality of a model's output for a complex task?
2. What is the primary benefit of using 'Chain-of-Thought' (CoT) prompting?
3. When designing a prompt for a classification task, why is it recommended to explicitly list the allowed output labels?
4. You notice your model is ignoring instructions provided at the very end of a long prompt. What technique should you apply?
5. In a RAG (Retrieval-Augmented Generation) system, why might you implement a 'self-correction' or 'reflection' loop in your prompt chain?

Answers and explanations come after you submit.