I want to hear your take on the concept of latent space. I kind of think that everybody has a different visualization or mental model of what latent space is, how you navigate it. All latent space means to me is that a latent is just like a lower dimensionality representation of image. So images have like RGB and so that's like a lot of numbers and values. Can you represent that image into a more encoded compressed lower dimensional space? From there, you can just imagine a 3D graph of x, y, and z. And then there's just the clustering of possible images from there.

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