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A technique for encouraging more detailed reasoning from a Large Language Model by directly including instructions in the prompt that request a longer, more thorough, or step-by-step thought process.

Explicit Prompting for Extended Deliberation

Analyze the project manager's initial prompt. Identify the primary weakness in the prompt's structure that led to the unhelpful, single-number response. Then, rewrite the prompt to explicitly guide the model towards producing a more detailed and trustworthy timeline estimation.

Improving LLM Project Timeline Estimation

A developer asks a language model to find a bug in a complex function. The prompt is simply: 'Find the bug in this code: [code snippet]'. The model provides a single incorrect line of code as a fix without any explanation. What specific phrase or sentence could the developer add to their prompt to increase the likelihood of receiving a correct and well-reasoned answer? Provide one concrete example of such an instruction.

Improving Code Debugging with Prompts

A user is attempting to have a language model solve a multi-step logic puzzle. The initial prompt, 'Solve the following logic puzzle: [puzzle details]', frequently results in an incorrect final answer. Which of the following revised prompts best applies the principle of guiding the model towards a more reliable solution by explicitly requesting a more detailed thought process?

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