3 ms·
This assumes the only way to use LLMs effectively is to have a monolith model that does everything from translation (from ANY language to ANY language) to creat
by dontupvoteme 3y ago
This assumes the only way to use LLMs effectively is to have a monolith model that does everything from translation (from ANY language to ANY language) to creative writing to coding to what have you. And supposedly GPT4 is a mixture of experts (maybe 8-cross)
The efficiency of finetuned models is quite, quite a bit improved at the cost of giving up the rest of the world to do specific things, and disk space to have a few dozen local finetunes (or even hundreds+ for SaaS services) is peanuts compared to acquiring 80GB of VRAM on a single device for monomodels
- cft 3y agoSutskever says there's a "phase transition" at the order of 9 bn neurons, after which LLMs begin to become really useful. I don't know much here, but wouldn't the monomodels become overfit, because they don't have enough data for 9+bn parameters?