Google releases VaultGemma, its first privacy-preserving LLM
Google releases VaultGemma, its first privacy-preserving LLM
arstechnica.com
Google releases VaultGemma, its first privacy-preserving LLM
6 comments
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'Press x to doubt'
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Google and Privacy can't exist in the same sentence.
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LLMs have non-deterministic outputs, meaning you can't exactly predict what they'll say.
I mean...they can have non-deterministic outputs. There's no requirement for that to be the case.
It might be desirable in some situations; randomness can be a tactic to help provide variety in a conversation. But it might be very undesirable in others: no matter how many times I ask "What is 1+1?", I usually want the same answer.
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In theory, it's just an algorithm that will always produce the same output given the exact same inputs. In practice it's nearly impossible to have fully deterministic outputs because of the limited precision and repeatability we get with floating point numbers on GPUs.
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What does people use a 1b model for?
6 comments
Google and privacy in the same sentence... Lol