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That sounds quite interesting. Makes me wonder if sooner or later they will have to train multiple independent models that cover those different niches. But may
by patall 7mo ago
That sounds quite interesting. Makes me wonder if sooner or later they will have to train multiple independent models that cover those different niches. But maybe we will see that sooner or later. Thanks for the link.
- cyanydeez 7mo agoOne would think that LoRAs being so successful in StableDiffusion, that more people would be focused on constructing framework based LoRas; but the economics of all this probably preclude trying to go niche in any direction and just keep building the do-all models.
- Aerroon 7mo agoThe SD ecosystem in large part was grassroots and focused on nsfw. I think current LLM companies would have a hard time getting that to happen due to their safety stuff.
- andai 7mo agoFine-tuning does exist on the major model providers, and presumably already uses LoRA. (Not sure though.) We saw last year that it's remarkably easy to bypass safety filters by fine-tuning GPT, even when the fine-tuning seems innocuous. e.g. the paper about security research finetuning (getting the model to add vulnerabilities) producing misaligned outputs in other areas. It seems like it flipped some kind of global evil neuron. (Maybe they can freeze that one during finetuning? haha) Found it: Emergent Misalignment https://news.ycombinator.com/item?id=43176553 https://news.ycombinator.com/item?id=43176553 https://news.ycombinator.com/item?id=44554865 https://news.ycombinator.com/item?id=44554865
- andai 7mo agoMixture of Mixtures of Experts ;)