> If I make an LLM, it is entirely what I did, there was nothing outside of my control.
Well kind of. Trainers of LLM might check LLM on any specific input data and tune its weights until output lands within acceptable bounds _for this given and fixed input_.
> It was not beyond my control if the LLM does something I didn't expect.
Now hold on, to make sure output is acceptable for ANY input data trainers have to run weights with every possible input token combination. How is this possible? Do you have a method in mind?
Well kind of. Trainers of LLM might check LLM on any specific input data and tune its weights until output lands within acceptable bounds _for this given and fixed input_.
> It was not beyond my control if the LLM does something I didn't expect. Now hold on, to make sure output is acceptable for ANY input data trainers have to run weights with every possible input token combination. How is this possible? Do you have a method in mind?