I feel like I'm fighting a losing battle but I don't see why so many people consider LLMs innately non-deterministic, an LLM running on a CPU with greedy decoding would be 100% deterministic and still have the intelligence we associate with LLMs
Valid point, it’s why I included the word “traditional”, to try to qualify that.
What I meant is something more like explicitly programmed vs. learned. Intelligence can result from learned behavior, but not from explicit programming of rules by humans.
An aspect of this is that “learning” is unpredictable - we can’t predict in advance exactly how the resulting model will behave, except broadly. It seems non-deterministic if only by virtue of its complexity, which is beyond anything we’re able to predictively model.
Valid point, it’s why I included the word “traditional”, to try to qualify that.
What I meant is something more like explicitly programmed vs. learned. Intelligence can result from learned behavior, but not from explicit programming of rules by humans.
An aspect of this is that “learning” is unpredictable - we can’t predict in advance exactly how the resulting model will behave, except broadly. It seems non-deterministic if only by virtue of its complexity, which is beyond anything we’re able to predictively model.