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How does the technique called ‘Joint Embedding’ work?
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Joint embedding is a technique for combining multiple representations of the same data. For example, if you have a bunch of images, you can use joint embedding to combine the representations of each image with the representation of the other images. This can be useful for tasks like image classification, where you want to combine the representations of different images to get a better understanding of the images.