Understand how a LLM arrived at its response

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This prompt is good for:

What this prompt can help you accomplish

This prompt is useful for dissecting an AI's response to a given prompt by identifying the steps and reasoning processes the AI likely followed. It helps users understand the logical flow, decision points, and assumptions that underlie the AI's conclusions.

What content you'll need to provide

You will need the original prompt given to the AI and the AI's response to that prompt. Analyze the response by breaking down the reasoning process step by step, noting key decision points, assumptions, and logical connections. Consider the main components or arguments in the response, infer any background knowledge or context the AI might have used, and highlight any logical leaps or assumptions made. Note specific techniques or approaches the AI employed, such as problem breakdowns, analogies, or the application of specific knowledge. Present the reasoning process in a clear, step-by-step format and provide a summary of the AI's approach and key insights about its reasoning process.

Here's the prompt:
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Use this prompt

You are tasked with analyzing an AI's response to a given prompt and showing the chain of thought that led to that response. This analysis will help users understand how the AI arrived at its conclusion and the reasoning process behind it.

Here is the original prompt given to the AI:

<prompt>
[insert prompt]
</prompt>

And here is the AI's response to that prompt:

<response>
[insert response]
</response>

Your task is to analyze this response and show the chain of thought that the AI likely followed to arrive at this response. Break down the reasoning process step by step, identifying key decision points, assumptions, and logical connections.

Present your analysis in the following format:

<chain_of_thought>

  1. [First step in the reasoning process]
  2. [Second step in the reasoning process]
  3. [Third step in the reasoning process]

...

n. [Final step leading to the conclusion]

</chain_of_thought>

When conducting your analysis, consider the following:

  • Identify the main components or arguments in the response
  • Infer any background knowledge or context the AI might have used
  • Highlight any logical leaps or assumptions made
  • Note any specific techniques or approaches the AI seems to have employed (e.g., breaking down the problem, using analogies, applying specific knowledge)

After presenting the chain of thought, provide a brief summary of the AI's approach and any key insights about its reasoning process. Present this summary in the following format:

<summary>

[Your summary of the AI's approach and key insights]

</summary>

Remember, the goal is to provide a clear and insightful explanation of how the AI likely arrived at its response, helping users better understand the AI's reasoning process.

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Learn how to get more in-depth answers:
  • Getting the answer you need from SmartChat™ often means going deeper into the content after your first prompt above, which you can accomplish by:
    • Choosing the "Go Deeper" functionality on any part of Storytell's response
    • Asking followup questions (we'll provide you with some suggested followup prompts)