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Re:Notes on OpenAI's new o1 chain-of-thought models by anon291 on Friday September 13, 2024 @12:52AM (#41528111)
Keep in mind that the system always chooses randomly so there is always a possibility it commits to the wrong output.

I don't know why openAi won't allow determinism but it doesn't, even with temperature set to zero

Re:Notes on OpenAI's new o1 chain-of-thought models by maeil on Friday September 13, 2024 @02:52AM (#41528665)
Nondeterminism provides an excuse for errors, determinism doesn't.

Nondeterminism scores worse with human raters, because it makes output sound even more robotic and less human.

Re:Notes on OpenAI's new o1 chain-of-thought models by coffeebeqn on Friday September 13, 2024 @01:13AM (#41528178)
Would picking deterministically help through? Then in some cases it’s always 100% wrong
Re:Notes on OpenAI's new o1 chain-of-thought models by jaredsohn on Friday September 13, 2024 @03:29AM (#41528854)
Yes, it is better if for example using it via an API to classify. Deterministic behavior makes it a lot easier to debug the prompt.
Re:Notes on OpenAI's new o1 chain-of-thought models by roywiggins on Friday September 13, 2024 @09:58AM (#41531328)
Determinism only helps if you always ask the question with exactly the same words. There's no guarantee a slightly rephrased version will give the same answer, so a certain amount of unpredictability is unavoidable anyway. With a deterministic LLM you might find one phrasing that always gets it right and a dozen basically indistinguishable ones that always get it wrong.
Re:Notes on OpenAI's new o1 chain-of-thought models by anon291 on Monday September 16, 2024 @01:50AM (#41553125)
My program always asks the same question yes.