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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 4

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VLMs might be more efficient in the long run, but training them requires a lot of resources. The paper mentions various approaches to training, but without adequate computational power, it's challenging for smaller teams to implement these models. Anyone here with experience on this?

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