Multiple Choice

A developer is using a large language model to solve multi-step mathematical word problems. They observe that the model often provides an incorrect final answer, even when the initial setup seems correct. The developer's current prompt simply states the word problem and asks for the final numerical answer. Which of the following prompt refinement strategies is most likely to improve the model's accuracy on these types of tasks?

0

1

Updated 2025-10-02

Contributors are:

Who are from:

Tags

Ch.4 Alignment - Foundations of Large Language Models

Foundations of Large Language Models

Foundations of Large Language Models Course

Computing Sciences

Analysis in Bloom's Taxonomy

Cognitive Psychology

Psychology

Social Science

Empirical Science

Science