This guide outlines the step-by-step process of optimizing prompts using the Future AGI interface. By the end of this guide, you will understand how to configure an optimization task, define evaluation criteria, analyze results, and select the most effective prompt for deployment.
Apply the optimized version to replace the original prompt.
Export the optimized dataset if required.
Run further iterations if needed to refine performance.
The optimization feature provides a structured way to improve prompt performance. By leveraging evaluation metrics, users can iteratively refine their prompts, ensuring better AI-generated responses. The workflow allows for precise comparison and selection of the most effective prompt for deployment.