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Gemini doesn't share Google search's AI advice on pizza cheese solutions? (sh.itjust.works)

submitted 10 months ago by [email protected] to c/[email protected]

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[–] [email protected] 6 points 10 months ago (1 children)

Yes it is intentional.

Some interferences even expose a way to set the "temperature" - higher values of that mean more randomized (feels creative) output, lower values mean less randomness. A temperature of 0 will make the model deterministic.

[–] [email protected] 1 points 10 months ago (1 children)

even at 0 temperature the model will not be deterministic, because it depends on the seed used as well as things like numerical noise.

[–] [email protected] 1 points 10 months ago* (last edited 10 months ago) (1 children)

Yeah no, that's not how this works.

Where in the process does that seed play a role and what do you even mean with numerical noise?

Edit: I feel like I should add that I am very interested in learning more. If you can provide me with any sources to show that GPTs are inherently random I am happy to eat my own hat.

[–] [email protected] 1 points 10 months ago (2 children)

https://github.com/ollama/ollama/blob/main/docs/api.md#request-reproducible-outputs

LLMs are prompted with a seed. If you change the seed you get a different answer.

[–] [email protected] 1 points 10 months ago

I appreciate the constructive comment.

Unfortunately the API docs are incomplete (insert obi wan meme here). The seed value is both optional and irrelevant when setting the temperature to 0. I just tested it.

[–] [email protected] 1 points 10 months ago

Addendum:

The docs say

For reproducible outputs, set temperature to 0 and seed to a number:

But what they should say is

For reproducible outputs, set temperature to 0 or seed to a number:

Easy mistake to make