\n ## Screenshot: Prompt for Multimodal Mathematical Problem Solving ### Overview The image is a screenshot of a text prompt designed for a multimodal AI system capable of solving mathematical problems. The prompt outlines the system's role as an expert in multimodal mathematical problem solving and details the expected input and output format. ### Components/Axes The screenshot is divided into three main sections: 1. **Header:** Contains the title "Prompt for generating reasoning of free-form problems:" enclosed in a dashed-line box. 2. **Instructions:** A paragraph describing the system's expertise and the expected workflow (reasoning followed by a final answer). 3. **Problem Placeholder:** A section labeled "Problem:" with a placeholder "<Question>". ### Detailed Analysis or Content Details The text content is as follows: "Prompt for generating reasoning of free-form problems: --------------------------------------------------------------------- You are an expert in solving multimodal mathematical problems. I will provide a mathematical problem along with its corresponding image. According to the problem and the image, please first conduct step-by-step reasoning, and after your reasoning, please provide your final answer using the format: "Final answer: ..." Problem: <Question>" ### Key Observations The image does not contain any data, charts, or diagrams. It is purely textual, presenting instructions for an AI system. The placeholder "<Question>" indicates that the actual mathematical problem is not included in the image. ### Interpretation The image represents a meta-prompt – a prompt designed to instruct an AI model on *how* to respond to a mathematical problem presented with an image. It emphasizes the importance of showing the reasoning process before providing the final answer. The use of a placeholder suggests that the prompt is intended to be used dynamically with different mathematical problems and corresponding images. The prompt is designed to elicit a structured response from the AI, making it easier to evaluate the model's problem-solving capabilities. The prompt is in English.