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How so? They host a lot of the FOSS and are a huge infrastructure provider in the space. No matter if Stable Diffusion, GPT or some other thing is the hot new t

How so? They host a lot of the FOSS and are a huge infrastructure provider in the space. No matter if Stable Diffusion, GPT or some other thing is the hot new thing in AI/ML space, you can be sure that huggingface is hosting some part of it either today already, or tomorrow.

vosper 4y ago
> They host a lot of the FOSS and are a huge infrastructure provider in the space You could say the same about Docker, I think? It seems to have been a mixed blessing for them.
- capableweb 4y ago
  Absolutely, you can say the same for a bunch of different companies. Some did really well (GitHub) while others did less well (Docker). I don't think looking at Docker is representative of the entire "FOSS Hosting" angle, and won't predict the future of huggingface.
lysecret 4y ago
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 If this is the future, then most of HuggingFaces code and infra is obsolete.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.

vosper 4y ago

> They host a lot of the FOSS and are a huge infrastructure provider in the space You could say the same about Docker, I think? It seems to have been a mixed blessing for them.

capableweb 4y ago
Absolutely, you can say the same for a bunch of different companies. Some did really well (GitHub) while others did less well (Docker). I don't think looking at Docker is representative of the entire "FOSS Hosting" angle, and won't predict the future of huggingface.

lysecret 4y ago

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.