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Both DALL-E and CLIP are âsuper impressive,â says Karthik Narasimhan, an assistant professor at Princeton specializing in computer vision. He says CLIP builds upon previous work that has sought to train large AI models using images and text simultaneously, but does so at an unprecedented scale. âCLIP is a large-scale demonstration of being able to use more natural forms of supervisionâthe way that we talk about things,â he says.
He says CLIP could be commercially useful in many ways, from improving the image recognition used in web search and video analytics, to making robots or autonomous vehicles smarter. CLIP could be used as the starting point for an algorithm that lets robots learn from images and text, such as instruction manuals, he says. Or it could help a self-driving car recognize pedestrians or trees in an unfamiliar setting.