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This article brilliantly captures the rapid advancements in Vision-Language Models (VLMs). It's exciting to see the emergence of small, powerful VLMs like LLaVA-Next, PaliGemma, and Florence-2, which are not only democratizing access but also pushing the boundaries of multimodal capabilities. These models, with their open-source availability and state-of-the-art performance, signify a significant shift in the AI landscape, making cutting-edge technology more accessible and versatile. It's a thrilling time for innovation in AI!

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