Excuse my ignorance, but how does context memory provide an insight into a model's inner workings? I mean this:
> It is given sets of paramaters/data and infers a response based on it's acceptable confidence level. The bottleneck for this is compute power and model/prompt/rails/integrations.
or whatever the LLM claims its confidence is on any given output?
> It is given sets of paramaters/data and infers a response based on it's acceptable confidence level. The bottleneck for this is compute power and model/prompt/rails/integrations.
or whatever the LLM claims its confidence is on any given output?