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Researchers at Meta recently presented ‘An Introduction to Vision-Language Modeling’, to help people better understand the mechanics behind mapping vision to language. The paper includes everything from how VLMs work, how to train them, and approache

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Anonymous

Anonymous 2

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Totally agree. The ability of VLMs to handle complex spatial relationships is a game changer. One major challenge has always been the integration of diverse data types. VLMs seem to bridge that gap much more effectively. Has anyone read the full paper? I'd love to dive into the details of their training approaches.

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