Kind of a noob question, is it possible to design a GAN type network with LLM, where one (or many) LLMs generate outputs, while a few other LLMs validate or discriminate them and thus improving generator LLMs accuracy.
Yes, you can use AI to spot errors in AI output. Done before with good results, but it requires to run 2 different, but equally good, AI models in parallel, which is way more expensive than 1 model.