It’s the process by which you solve a problem. Reasoning requires creating abstract concepts and applying logic against them to arrive at a conclusion.

It’s like saying what’s the difference between between deductive logic and Monte Carlo simulations. Both arrive at answers that can be very similar but the process is not similar at all.

If there is any form of reasoning on display here it’s an abductive style of reasoning which operates in a probabilistic semantic space rather than a logical abstract space.

This is important to bear in mind and explains why hallucinations are very difficult to prevent. There is nothing to put guard rails around in the process because it’s literally computing probabilities of tokens appearing given the tokens seen so far and the space of all tokens trained against. It has nothing to draw upon other than this - and that’s the difference between LLMs and systems with richer abstract concepts and operations.