Comment by DemocracyFTW2

Akchally... Strictly speaking and to the best of my understanding, LLMs are deterministic in the sense that a dice roll is deterministic; the randomness comes from insufficient knowledge about its internal state. But use a constant seed and run the model with the same sequence of questions, you will get the same answers. It's possible that the interactions with other users who use the model in parallel could influence the outcome, but given that the state-of-the-art technique to provide memory and context is to re-submit the entirety of the current chat I'd doubt that. One hint that what I surmise is in fact true can be gleaned from those text-to-image generators that allow seeds to be set; you still don't get a 'linear', predictable (but hopefully a somewhat-sensible) relation between prompt to output, but each (seed, prompt) pair will always give the same sequence of images.