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A user wants a language model to solve a simple logic puzzle and see the model's reasoning process. Crucially, the user does not want to provide any examples of how to solve similar puzzles. The user's initial query is: 'If a red house is made of red bricks and a blue house is made of blue bricks, what is a green house made of?' Which of the following modified prompts best applies the simple, well-known technique for eliciting a step-by-step thought process without providing any examples?
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Ch.2 Generative Models - Foundations of Large Language Models
Foundations of Large Language Models
Foundations of Large Language Models Course
Computing Sciences
Ch.3 Prompting - Foundations of Large Language Models
Application in Bloom's Taxonomy
Cognitive Psychology
Psychology
Social Science
Empirical Science
Science
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A user wants a language model to solve a simple logic puzzle and see the model's reasoning process. Crucially, the user does not want to provide any examples of how to solve similar puzzles. The user's initial query is: 'If a red house is made of red bricks and a blue house is made of blue bricks, what is a green house made of?' Which of the following modified prompts best applies the simple, well-known technique for eliciting a step-by-step thought process without providing any examples?
Critiquing a Prompt for Eliciting Reasoning
Constructing a Reasoning-Eliciting Prompt