Automatic Prompt Optimization for Multimodal Vision Agents: A Self-Driving Car Example

Creating effective prompts for multimodal AI agents that process both text and images is a major challenge, often relying on inefficient trial and error. Automatic prompt optimization solves this by using algorithms and other LLMs to systematically rewrite and improve an agent's instructions for greater accuracy. This technique can be applied to