Those smaller models are trained on the larger models. They take just as many resources to train and then you add on more training, so they’re literally worse than the big models.
And what if tech oligarchs weren’t evil and used this new technology to make lives better instead of concentrating capital? We don’t have that either so there’s no use speculating.
Snark aside, I think you’re underestimating just how much data it takes to make these models work. There is no such thing as enough “private” data for training.
There is no such thing as enough “private” data for training.
what the fuck are you on about? You can build local datasets and train additional LORAs locally to have more relevant outputs, and it doesn’t go back to the creators of the original weights.
Those smaller models are trained on the larger models. They take just as many resources to train and then you add on more training, so they’re literally worse than the big models.
What if your power comes from renewables? And if you’re training private data?
Then they still used just as many resources? All these local models are distillations of the big models.
What if a unicorn gave me the first ethical local model, now all my sins are absolved
And what if tech oligarchs weren’t evil and used this new technology to make lives better instead of concentrating capital? We don’t have that either so there’s no use speculating.
Snark aside, I think you’re underestimating just how much data it takes to make these models work. There is no such thing as enough “private” data for training.
what the fuck are you on about? You can build local datasets and train additional LORAs locally to have more relevant outputs, and it doesn’t go back to the creators of the original weights.
You are describing fine tuning, no? Which still requires a base model that was trained on a massive amount of other data.