Prompt engineering for multimodal agents is still more art than science, but this walkthrough shows how to automate the process using open-source optimization tools. The self-driving car safety example is a smart choice — high stakes means you actually need systematic improvement, not just vibes-based tweaking. Solid practical guide for anyone building vision-based agents.
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Automatic Prompt Optimization for Multimodal Vision Agents: A Self-Driving Car Example
Walkthrough using open-source prompt optimization algorithms in Python to improve the accuracy of an autonomous vehicle car safety agent running on OpenAI's GPT 5.2 The post Automatic Prompt Optimization for Multimodal Vision Agents: A Self-Driving Car Example appeared first on Towards Data Science.
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