Check out /r/localllama. Preferably you need a Nvidia you with >= 24 GB VRAM but it also works with a cpu and loads of normal RAM, if you can wait a minute or two for a lengthy answer. Loads of models to choose from, many with no censorship at all. Won’t be as good as chatgptv4, but many are close to gpt3.
If you have a high end GPU, or lots of RAM you can run some good quality LLMs offline. I recommend watching Matthew Berman for tutorials (there are some showing paid hosting aswell).
I think KoboldAI runs locally, but like many current AI tools it’s a pain in the ass to install, especially if you’re on Linux, especially if you’re using AMD GPUs. I wonder if we’ll see some specialized AI related cards to slot into our pci ports or something. Not a whole lot of necessary options to fill them nowadays anyway. I’d also be interested in local AI voice changers too. Maybe even packaged like a Roland VT-4 voice transformer that sits between your mic & whatever audio other audio interface you might be using, where you just throw the trained voice models onto the device and it does all the real time computing for you.
I’m sure things get more refined over the next years though.
By design, because they don’t want some basement guy launching skynet.
I have to agree, I trust a handful of big shops, some of which could actually be killed by ethics people against the wishes of investors, far more than the entire internet. It still might not be enough, but there is no applying breaks whatsoever if anyone can take the next step.
It won’t take long until cheap special purpose chips hit the market. Then you’ll have your offline model. There are already models that run on consumer hardware, but it’s for enthusiasts at the moment and not the same quality (but almost). But if you want to spend thousands on a PC that can handle the largest models, go ahead.
I’d like this offline. Why are all the good chatbots proprietary online-only software?
They need insane amounts of compute
So? OpenAI aren’t the only ones with large datacenters.
They want your data
Check out /r/localllama. Preferably you need a Nvidia you with >= 24 GB VRAM but it also works with a cpu and loads of normal RAM, if you can wait a minute or two for a lengthy answer. Loads of models to choose from, many with no censorship at all. Won’t be as good as chatgptv4, but many are close to gpt3.
Just played with it the other week, they have some models that run on less extreme hardware too https://ollama.ai/
If you have a high end GPU, or lots of RAM you can run some good quality LLMs offline. I recommend watching Matthew Berman for tutorials (there are some showing paid hosting aswell).
I think KoboldAI runs locally, but like many current AI tools it’s a pain in the ass to install, especially if you’re on Linux, especially if you’re using AMD GPUs. I wonder if we’ll see some specialized AI related cards to slot into our pci ports or something. Not a whole lot of necessary options to fill them nowadays anyway. I’d also be interested in local AI voice changers too. Maybe even packaged like a Roland VT-4 voice transformer that sits between your mic & whatever audio other audio interface you might be using, where you just throw the trained voice models onto the device and it does all the real time computing for you.
I’m sure things get more refined over the next years though.
It would actually be pretty cool to see TPUs you can just plug in. They come stock in a lot of Google products now, I think.
By design, because they don’t want some basement guy launching skynet.
I have to agree, I trust a handful of big shops, some of which could actually be killed by ethics people against the wishes of investors, far more than the entire internet. It still might not be enough, but there is no applying breaks whatsoever if anyone can take the next step.
It won’t take long until cheap special purpose chips hit the market. Then you’ll have your offline model. There are already models that run on consumer hardware, but it’s for enthusiasts at the moment and not the same quality (but almost). But if you want to spend thousands on a PC that can handle the largest models, go ahead.