A developer is creating a prompt to help a large language model solve multi-step word problems. The goal is to structure the prompt in a way that teaches the model how to reason through the problem before providing a final answer. Analyze the following prompt structures and select the one that best demonstrates the technique of including intermediate reasoning steps to guide the model's problem-solving process.
Problem to solve: 'A farmer has 15 apples. He sells 5 to his neighbor and then buys 10 more from the market. How many apples does he have now?'
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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
Analysis in Bloom's Taxonomy
Cognitive Psychology
Psychology
Social Science
Empirical Science
Science
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A developer is creating a prompt to help a large language model solve multi-step word problems. The goal is to structure the prompt in a way that teaches the model how to reason through the problem before providing a final answer. Analyze the following prompt structures and select the one that best demonstrates the technique of including intermediate reasoning steps to guide the model's problem-solving process.
Problem to solve: 'A farmer has 15 apples. He sells 5 to his neighbor and then buys 10 more from the market. How many apples does he have now?'
Constructing a Reasoning-Based Prompt
Improving a Language Model's Classification Accuracy