4 ms·
I'm definitely not a hater of these technologies and I'd actually like to play around with them. I'm more concerned with how these language models seem to be ti
by Accacin 4y ago
I'm definitely not a hater of these technologies and I'd actually like to play around with them. I'm more concerned with how these language models seem to be tied to a certain companies' browser and what the implications of this might be.
If Chrome gets tied with Bard and Edge gets tied with Chatbot, Image Creator, etc. where's that leave Firefox and other "niche" browsers?
- jddj 4y agoHopefully with a means of passing page content and browsing capability to your local openGPT / GPTnu / whatever the open models end up being called
- a2128 4y agoI think this kind of browser tie-in should be illegal. I've been using Bing Chatbot for the past few weeks on Firefox by using the user-agent switcher extension to make it think I'm on Edge. It works flawlessly. So there's 0 technical reason for requiring Edge, it's all just a weird tactic to get people using Edge. Like a fast food drive-thru that only serves Mercedes-Benz cars.
- titaniczero 4y agoI would be more concerned if we don't get to the point of decent local models for every task, because of the power these companies would have
- TacticalCoder 4y ago> models seem to be tied to a certain companies' browser and what the implications of this might be If you've got the budget buy a 7950X / 64 GB of RAM / 4090 GPU (about $4K ?) and run StableDiffusion + other free tools locally. It's just plain amazing. It's plenty quick and there are more and more tools every day that passes by. I've been demo'ed SD+LoRA by someone who knows who to additionally train the model: it's jaw dropping. And it's not tied to a company. And it's not politically correct if you don't want it to be. And it's not sniffing your every keystrokes.
- barking_biscuit 4y ago>If you've got the budget buy a 7950X / 64 GB of RAM / 4090 GPU (about $4K ?) and run StableDiffusion + other free tools locally You can run StableDiffusion on wayyyy less hardware than that if you're just doing inferencing. You can train models on 8GB of VRAM if you're OK with being limited to training LORA models, which are slightly lower quality. If you've got an RTX3060 you can train on Dreambooth (without EMA enabled), which is awesome! If you've got more VRAM and can train with EMA enabled, then the results are pretty stunning.