Constructing a Refinement Prompt
You are designing a system for a Large Language Model (LLM) to improve its own answers. You have the following three pieces of information:
- Original Question: 'Explain the process of photosynthesis in simple terms.'
- Initial Response: 'Photosynthesis is how plants eat sunlight.'
- Feedback on Response: 'The response is too brief and anthropomorphizes plants by saying they 'eat'. It should mention key inputs like water and carbon dioxide, and the output of glucose and oxygen.'
Based on these components, write a complete and effective prompt that instructs the LLM to generate a revised and improved answer.
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Ch.3 Prompting - Foundations of Large Language Models
Foundations of Large Language Models
Foundations of Large Language Models Course
Computing Sciences
Application in Bloom's Taxonomy
Cognitive Psychology
Psychology
Social Science
Empirical Science
Science
Related
A developer is building a system where a Large Language Model (LLM) iteratively improves its own answers. The process involves three stages: 1) The LLM generates an initial response to a user's question. 2) The LLM generates critical feedback on its own initial response. 3) The LLM uses all the information to generate a final, improved response. Which of the following prompt structures, given to the LLM in the third stage, is best designed to produce a high-quality, refined answer?
Constructing a Refinement Prompt
Diagnosing a Flawed Refinement Prompt