y’know, come to think of it… Training and inference differ massively in how much compute they consume. So after you’ve trained a massive system, you have a lot of compute free to do inference (modulo needing to use it to generate revenue, run your apps, etc). Meaning that for large scale, critical applications, it might in fact be feasible to tolerate some big, multiple OOMs, hit to the compute cost of your inference; if that’s all that’s required to get the zero knowledge benefits, and if those are crucial
y’know, come to think of it… Training and inference differ massively in how much compute they consume. So after you’ve trained a massive system, you have a lot of compute free to do inference (modulo needing to use it to generate revenue, run your apps, etc). Meaning that for large scale, critical applications, it might in fact be feasible to tolerate some big, multiple OOMs, hit to the compute cost of your inference; if that’s all that’s required to get the zero knowledge benefits, and if those are crucial