A curious question. Would it be possible to build LLMs off of bytecode / compiled code, and then translate it back to different programming language codes?
Is that a viable way to get more fine-tuned outputs from these models?
I don't think so, bytecode / machine code must be really precise, while LLMs are producing nondeterministic outputs (at least GPT). Add "hallucinating" of the output to the pile and right now I think it's infeasible.
Is that a viable way to get more fine-tuned outputs from these models?