Submitted by visarga t3_127xafh in singularity

Fellow singularitarians, brace yourselves for yet another groundbreaking development in the AI world that's about to shake things up even more. Meet HuggingGPT, a system that's taking the already mind-blowing abilities of ChatGPT and linking it with its AI pals over at HuggingFace. This bad boy is on a mission to solve insanely complex AI tasks across different domains and modalities, and it's got the chops to do it.

The idea behind HuggingGPT is simple but crazy effective: using large language models like ChatGPT as the mastermind to control and manage the diverse AI models out there. Language is the key to unlocking this power, and by leveraging ChatGPT's mad skills, HuggingGPT can handle pretty much any sophisticated AI task you throw at it.

So, what does this mean for us, the generation already struggling to keep up with the relentless pace of AI? Well, it's a double-edged sword. HuggingGPT is opening doors to artificial general intelligence, but at the same time, it might leave us scrambling to adapt to a rapidly changing job market. Better buckle up, zoomers, because the AI revolution isn't slowing down, and HuggingGPT is here to prove it.

(of course reported by chatGPT in the style of another recent post)

https://arxiv.org/abs/2303.17580

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spriggankin t1_jeg8vm4 wrote

I thought this was a companion sort of AI based on the name..

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visarga OP t1_jegd2cs wrote

HuggingFace is the GitHub of AI. It hosts 166,392 AI models and 26,787 datasets. It has implementations for all the models in its own framework and is usually the starting codebase for research papers. You can also interact with many models right on their website in the "spaces" section.

You can also see it like an App Store for AI, you can shop for models and then include them in your project with 5 lines of code.

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mjk1093 t1_jegl6ux wrote

Unlike GitHub, most of the "spaces" on HuggingFace seem to be broken, unresponsive, or incredibly slow. Maybe that's just been my experience, and I don't know where to look for the good ones.

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visarga OP t1_jegmcux wrote

I think they spin up a container if there isn't one running. Usually there isn't, so you have to wait a minute or two. Then it works slowly, but it is simpler than downloading the model.

In this paper the HuggingGPT system uses a bunch of local models, and calls on the HuggingFace API for the rest. So they try to run their own tool-models, at least a few of them because HF is so flaky.

I think this paper is pretty significant. It expands the OpenAI Plugin concept with AI-plugins. This is great because you can have a bunch of specialised models combined in countless ways, chatGPT being the orchestrator. It's automated AI pipelines. If nothing else, it could be used to generate training data for a multi-modal model like GPT-4. Could be a good business opportunity for HuggingFace too, their model zoo is impressive.

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Educational-Net303 t1_jegxm3h wrote

This is just connecting GPT to huggingface models. OpenAI probably experimented with this years ago considering GPT4's vision abilities.

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Working_Ideal3808 t1_jegzpcu wrote

This is a very cool paper. it is pretty clear that these models can be leveraged as personal assistants for everyone.

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SkaldCrypto t1_jeh1qt2 wrote

It’s auto ML which has existed for years.

However it now has more ML models than ever and the selection is driven by ChatGPT so it could be pretty dope tbh

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