Based on the case study below, evaluate the user's initial prompt and propose a revised version that is more likely to elicit the desired detailed thought process. Justify why your revision would be more effective.

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To prompt a Large Language Model to generate a detailed reasoning process, various instructions can be used. Besides the common phrase "Let's think step by step," alternatives like "Let's think logically" or "Please show me your thinking steps first" are also effective in triggering the model to articulate its thought process.

Alternative Phrases for Eliciting Step-by-Step Reasoning

A user wants a language model to act as a financial advisor and recommend a diversified investment portfolio. The user needs the model to not only provide the final portfolio but also to explain the rationale behind its choices, such as risk tolerance and investment horizon. Which of the following prompts is best structured to elicit this kind of detailed, reasoned response?

Improving a Prompt for Detailed Reasoning

You are trying to get a large language model to solve a complex logic puzzle. Instead of using the common phrase 'Let's think step by step,' propose one alternative instruction you could add to your prompt to encourage the model to show its reasoning process. Briefly explain why your proposed instruction would be effective.

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