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A role-playing prompt for an LLM combines a persona definition with a user query to elicit a specialized response. For example, a user can instruct the model to adopt the persona of a developmental psychologist who is an expert on delayed gratification, citing their specific research background, publications, and experiments. Following this detailed persona setup, the user can then ask a targeted question relevant to that persona, such as, 'Please explain what delayed gratification is?'

Example of a Complete Role-Playing Prompt

You want to use a language model to generate a detailed explanation of the economic factors that led to the fall of the Roman Empire, from the perspective of a leading academic. Construct a single, complete instruction for the model that includes both a detailed persona for it to adopt and a specific question for it to answer.

Constructing an Expert Persona Prompt

A user wants a language model to generate a recipe for sourdough bread that is suitable for a beginner baker living at a high altitude. Justify which of the following prompts is most likely to achieve the user's specific goal. In your evaluation, explain the key components that make the most effective prompt superior to the other two.

Evaluating Prompt Effectiveness for a Specific Goal

A user provides the following text to a language model: 'You are a seasoned astrophysicist who specialized in stellar evolution at Caltech. You were a lead researcher on the team that first observed a Type II supernova using the Hubble Space Telescope, and you authored the seminal textbook 'The Life and Death of Stars.' Based on this expertise, explain the process that leads a massive star to go supernova.' Which statement best analyzes why this is a complete and effective instruction for elicit

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