"LLM" literally converse/compute via statistical inference.
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.
The reason LLM stays consistent/can be somewhat trusted to stay on rails is that it's aware of both it's context/scope and it's confidence about the context.
Anything else would be....original thought and exposition? I guess. You could say that our brains do the same, IE; unconcious statistical analysis leading to inference based on confidence.
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.
The reason LLM stays consistent/can be somewhat trusted to stay on rails is that it's aware of both it's context/scope and it's confidence about the context.
Anything else would be....original thought and exposition? I guess. You could say that our brains do the same, IE; unconcious statistical analysis leading to inference based on confidence.