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A user wants a Large Language Model to solve a multi-step logic problem. They are considering two different prompts:
Prompt A: 'If a bat and a ball cost $1.10 in total, and the bat costs $1.00 more than the ball, how much does the ball cost?'
Prompt B: 'If a bat and a ball cost $1.10 in total, and the bat costs $1.00 more than the ball, how much does the ball cost? Let's think step by step.'
Which prompt is more likely to elicit a correct answer from the model, and what is the most accurate reason for its effectiveness?
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Ch.4 Alignment - 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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Application of CoT to Algebraic Calculation Problems
A user wants a Large Language Model to solve a multi-step logic problem. They are considering two different prompts:
Prompt A: 'If a bat and a ball cost $1.10 in total, and the bat costs $1.00 more than the ball, how much does the ball cost?'
Prompt B: 'If a bat and a ball cost $1.10 in total, and the bat costs $1.00 more than the ball, how much does the ball cost? Let's think step by step.'
Which prompt is more likely to elicit a correct answer from the model, and what is the most accurate reason for its effectiveness?
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