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> non-deterministic artificial intelligence

Is it really non-deterministic, or is that just a misinterpretation of the opacity in deep learning algorithms? If the word choice isn’t a mistake, I wonder what the non-determinism adds.

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Possibly both? Modern AI models often include a "temperature" parameter which produces a certain level of randomness in the output. But the inner models are also opaque in a way that makes it impossible for humans to reason about them, so the output may appear non-deterministic for all practical purposes even if it is technically deterministic in a purely mathematical sense.

Sigh it means in their neural network layer they have a random sampling step. Yay for Gaussians.

IDK, it could mean it's not if/else structured computer code. The idea that you can't guarantee consistent results under small variation is a big deal to non technical people who are buying ML applications

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