Learn Before
Example of a Refinement Prompt Structure
A prompt designed to instruct a Large Language Model to refine a previous answer typically provides the model with three key pieces of information: the original question, the model's initial response, and the feedback generated for that response. For instance, the instructional part of the prompt might state: 'You will be provided with a question, its corresponding response, and some feedback on this response.' This structure guides the model to produce an improved version.
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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
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Example of a Refinement Prompt Structure
An AI model produced an initial response to a prompt and was then provided with feedback to help it improve.
Initial Prompt: 'Explain the water cycle for a 5th grader.'
AI's Initial Response: 'Water on Earth goes up into the sky and then comes back down.'
Feedback Provided to the AI: 'This response is too brief. It lacks key terminology like evaporation, condensation, and precipitation, and doesn't explain what causes the water to move.'
Based on the feedback, which of the following revised responses demonstrates the most successful refinement?
Inferring Guidance for AI Revision
Diagnosing a Flawed Refinement Cycle
Learn After
A user wants to instruct a language model to improve its previous answer based on a critique. Which of the following prompt structures is most complete and effective for this task, as it provides the model with all the necessary context to understand and implement the required changes?
Critique of a Refinement Prompt
Constructing a Refinement Prompt