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I don't think that's true. They clearly group related things together and seem to be able to create concepts that aren't specifically in the training data. For
by bongodongobob 3y ago
I don't think that's true. They clearly group related things together and seem to be able to create concepts that aren't specifically in the training data. For example, it will figure out the different features of a face, eyes, nose, mouth even if you don't explicitly tell it what those are. Which is why they are so cool.
- mewpmewp2 3y agoThey are cool, but then you are also cool.
- zeusk 3y agoMost of that magic comes from embedding no? which is clustering things by their relation in some N-dimensional space
- bongodongobob 3y agoExactly. It figures that out on its own. That's what "understanding" looks like in this context, imo.