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Incorporating Reasoning Steps into Prompts for Improved Model Accuracy
A key technique for improving the accuracy of large language models on reasoning tasks is to include the step-by-step logical process, not just the final solution, within the prompt. This provides a clear template for the model to follow, guiding it to the correct answer.
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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
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A student is solving the following problem: 'Tom begins with 10 marbles. He wins 7 more in a game, then loses 3, and is finally given 3 more by his brother.' The student calculates the final answer to be 11 marbles. Analyze the student's calculation process. Where did the error most likely occur?
Incorporating Reasoning Steps into Prompts for Improved Model Accuracy
Evaluating AI Reasoning Process
Consider the following problem: 'Tom has 10 marbles. He wins 7 more, then loses 3, and finally receives 3 from his brother.' A valid way to solve this is to first cancel out the 'loses 3' and 'receives 3' actions because they negate each other, leaving the final calculation as 10 + 7 = 17.
Learn After
A developer is trying to get a large language model to reliably solve multi-step arithmetic problems. Which of the following example prompts is best structured to guide the model to the correct reasoning process for a new, similar problem?
Improving AI Reasoning with Better Prompts
Diagnosing and Improving a Reasoning Prompt