4 ms·

I have used them extensively and am a big fan, but none of their models are even close to the type of thing ChatGPT can do (for now). They are built for a world

I have used them extensively and am a big fan, but none of their models are even close to the type of thing ChatGPT can do (for now). They are built for a world where you take a pre-trained model (say Bert) and fine tune it to your specific task. I feel like ML is moving towards: We have these fantastic model with 50 page context, just give it a few examples and it can do whatever you want out of the box. If this is the future, then most of HuggingFaces code and infra is obsolete.

capableweb 4y ago
But that's models from people uploading models to huggingface, huggingface themselves don't write/maintain those models, it's a community of AI/ML practitioners. And LLMs are just a small part of the ecosystem, huggingface is hosting much more than just those models. It hosts models for text-to-image, classification, text-to-speech, and everything in-between those. And beyond that, they also host datasets that are being used for training a bunch of models. As long as there is a FOSS AI/ML ecosystem, huggingface will remain being relevant (granted no other similar platform appear and takes over). For example, if you want to do anything Stable Diffusion today, it's more likely than not that something is being pulled down from huggingface, one way or another. Even in your own example, where we have one-shot models that don't need fine-tuning, those models still need to be hosted somewhere. Today, that hosting happens most commonly on huggingface.