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by ipsum2 728 days ago
It's the same model though. Maybe your perception has changed.
2 comments

I have first noticed logprob fluctuations in GPT-4o. Perhaps the same phenomenon is also going on with Turbo. I din‘t recall specifics but it was naming inconsistencies with variable names, meaning: same variable name got a typo somewhere, but the typo was close enough - perhaps a space vs. an underscore or something like that.

Model could be the same, but maybe some in the infra is different.

I can’t speak for what OpenAI is doing, but I’ve noticed those types of hallucinations occurring when I quantize a model beyond a certain point.

Maybe they are trying to cut down on memory usage ?

Is it the same? On the Models page of the API docs it says that GPT-4 is using the June 13th which would be different than the March 23rd.