Example of a Feedback Generation Prompt
An example of a prompt used to instruct a Large Language Model to generate feedback on a previous response is: 'You will be provided with a question and its corresponding response. Evaluate the accuracy and depth of this response, and identify any factual inaccuracies or areas where additional details could enhance understanding.' This prompt would be used to evaluate a response generated for an initial question, such as 'What are some major environmental concerns today?'.
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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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Using Generated Feedback to Prompt for Response Refinement
Example of a Feedback Generation Prompt
Refining LLM Responses Using Feedback
Refining an LLM Response Using Feedback
A user provides a language model with the following query and receives an initial response:
User Query: "What are the main causes of urban air pollution?" Initial Response: "Urban air pollution is caused by things like cars and factories."
The user now wants to prompt the same model to critique its own response to identify areas for improvement. Which of the following subsequent prompts is best designed to elicit the most detailed and constructive feedback on the initial response?
Evaluating a Feedback Generation Prompt
A user is interacting with a language model to refine an explanation. Arrange the following four steps of their interaction into the correct chronological order.
Learn After
A user asks an AI model to explain the primary benefits of renewable energy sources. The model provides a response that is factually accurate but only discusses solar and wind power. The user believes the explanation is incomplete and wants to instruct the AI to critique its own response to make it more comprehensive. Which of the following follow-up instructions would be most effective for achieving this specific goal?
Visualizing Translation Refinements
Crafting a Feedback Prompt for an Economic Explanation