<ul data-eligibleForWebStory="false"><li>Recent advancements in open-source vision-language models provide compact solutions for AI tasks.</li><li>These models with billions of parameters offer high accuracy on images and text.</li><li>Their edge deployment potential in public sectors can streamline data processing and service efficiency.</li><li>The use of small LLMs can automate data extraction, bridging analog to digital workflows.</li></ul>

Testing Compact Vision-Language Models with Synthetic Data for Potential Public Sector Use Cases

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