Using 'Let's think step by step' to Prompt Detailed Reasoning
To elicit a detailed, sequential reasoning process from a large language model, a user can include the instruction 'Let’s think step by step' in the prompt. This phrase acts as a trigger, encouraging the model to articulate its intermediate thought process before providing a final answer.
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Ch.3 Prompting - Foundations of Large Language Models
Foundations of Large Language Models
Foundations of Large Language Models Course
Computing Sciences
Ch.2 Generative Models - Foundations of Large Language Models
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A problem is presented: 'A library starts the month with 500 books. It lends out 120 books and then acquires 75 new books. How many books does the library have?' A solution to this problem, denoted by 'y', can be structured as an ordered sequence of distinct reasoning steps: y = (a₁, a₂, ..., aₙ). Which of the following options best represents this structured solution?
Analysis of a Reasoning Sequence Representation
Using 'Let's think step by step' to Prompt Detailed Reasoning
A solution, denoted as 'y', for the problem 'Solve for the variable in the equation 2(n + 5) = 16' can be formally represented as an ordered sequence of reasoning steps: y = (a₁, a₂, ..., aₙ). Arrange the following reasoning steps into the correct logical sequence to form a valid solution 'y'.
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Evaluating a Model's Reasoning Strategy
A user is prompting a large language model with the following math problem: 'A grocery store has 15 apples. They sell 7 and then receive a new shipment of 20 more. How many apples do they have now?' The model consistently provides an incorrect final answer without showing its work. How should the user modify the prompt to best encourage the model to arrive at the correct solution by breaking down the problem?
Alternative Phrases for Eliciting Step-by-Step Reasoning
Analyzing the Impact of a Prompting Technique