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We’ve been seeing this in vision too. I’m really excited about multimodal LLMs but it seems like they’re going to be most useful for solving new types of (quali
by yeldarb 3y ago
We’ve been seeing this in vision too. I’m really excited about multimodal LLMs but it seems like they’re going to be most useful for solving new types of (qualitative) problems vs taking over (quantitative) problems where small, fast CNNs have excelled.
Though they can also play well together[1] given _creating_ quantitative models is a qualitative problem.
[1] https://github.com/autodistill/autodistill https://github.com/autodistill/autodistill
- godelski 3y ago> We’ve been seeing this in vision too. It's always amazing to me that __researchers__ still ask if there are uses for GANs, thinking diffusion killed them. I have a hard time taking anyone's claim that they are an expert in synthetic image synthesis but it seems top companies hire them. I see the same thing with ResNets and I just don't get it. There's a tendency to not just railroad, but to actively build it.