Google

To improve a Large Language Model's performance on mathematical tasks, a role-playing prompt can be enhanced by explicitly instructing the model to follow a structured reasoning process. For example, a prompt can assign an expert persona and also command it to adhere to specific steps: 'You are a mathematician. You will follow these detailed reasoning steps when solving math problems.' This dual approach not only sets an expert context but also guides the model through a methodical problem-solving framework.

Example of an Enhanced Role-Playing Prompt for Mathematical Reasoning

A user submitted the prompt below to a language model to solve a math problem, but the model produced an incorrect answer for the second part of the question. Your task is to rewrite the original prompt. Your new prompt should incorporate two specific strategies to guide the model towards a more accurate and well-reasoned solution: assigning it an expert identity and providing it with a clear, sequential problem-solving framework.

Improving a Language Model's Mathematical Problem-Solving

A user needs a language model to solve the following word problem: 'A train leaves Station A at 10:00 AM traveling at 60 mph. A second train leaves Station B, 300 miles away from Station A, at 11:00 AM traveling towards Station A at 90 mph. At what time will the two trains meet?'

Craft a single, enhanced prompt for the language model that incorporates both an expert persona and an explicit instruction to follow a structured, step-by-step reasoning process to solve this problem. You do not need to solve the problem yourself.

Crafting an Enhanced Prompt for a Language Model

A user wants a language model to solve a multi-step algebra word problem and wants to maximize the chances of getting a correct, well-reasoned answer. Which of the following prompts best applies the dual strategy of assigning an expert identity to the model and providing it with a structured, sequential method for arriving at the solution?

Learn Before

Related