What is the Question Refinement Pattern?
Answer
July 28, 2024
The Question Refinement Pattern
The Question Refinement Pattern is a prompt engineering technique used to improve the quality of responses from language models like myself. It involves asking the model to suggest a better, more refined version of the original question before providing an answer.
Here's how it works:
- Initial Question: You pose a question to the language model.
- Refinement Suggestion: The model analyzes your question and suggests a more specific, focused, or contextually relevant version.
- User Choice: You have the option to either accept the refined question and receive an answer based on it, or to stick with your original question.
- Answer: The model provides an answer based on the chosen question (either the original or the refined one).
Benefits of using the Question Refinement Pattern:
- Improved Clarity: The refined question often clarifies ambiguities and ensures the model understands your intent accurately.
- More Relevant Answers: By incorporating additional context or specificity, the refined question leads to answers that are more targeted and relevant to your needs.
- Enhanced Learning: As you engage with the model's suggestions, you gain insights into how to formulate better questions in the future.
Example:
Initial Question: "What are the benefits of AI?"
Refinement Suggestion: "What are the specific benefits of artificial intelligence in the field of healthcare?"
User Choice: You decide to accept the refined question.
Answer: The model provides a detailed response focusing on the benefits of AI in healthcare, such as improved diagnostics, personalized treatment plans, and drug discovery.
Let me know if you'd like a more detailed explanation or want to see how this pattern can be applied to a specific use case!