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It is fascinating. Vision language models are unreasonably good compared to dedicated OCR and even the language tasks to some extent. My take is it fits into t
by zmmmmm 11mo ago
It is fascinating. Vision language models are unreasonably good compared to dedicated OCR and even the language tasks to some extent.
My take is it fits into the general concept that generalist models have significant advantages because so much more latent structure maps across domains than we expect. People still talk about fine tuning dedicated models being effective but my personal experience is it's still always better to use a larger generalist model than a smaller fine tuned one.
- jepj57 11mo agoNow apply that thinking to human-based neural nets...
- kgeist 11mo ago>People still talk about fine tuning dedicated models being effective >it's still always better to use a larger generalist model than a smaller fine tuned one Smaller fine-tuned models are still a good fit if they need to run on-premises cheaply and are already good enough. Isn't it their main use case?
- bangaladore 11mo agoLatency and size. Otherwise pretty much useless.