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Read More »Automatic Prompt Optimization for Multimodal Vision Agents: A Self-Driving Car Example
Optimizing Multimodal Agents Multimodal AI agents, those that can process text and images (or other media), are rapidly entering real-world domains like autonomous driving, healthcare, and robotics. In these settings, we have traditionally used vision models like CNNs; in the post-GPT era, we can use vision and multimodal language models that leverage human instructions in the form of prompts, rather …
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