There's also Mistral and Lumo as a non-google private alternative.
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I don't believe evil Google. Not one bit. Google thrives on data, not privacy.
It's pretty rich that Google persists in putting on the charade of caring about privacy.
This is really interesting work!
I feel like the commenters here simply did not read the article. This is a model provided for download to run locally. There is no way for Google to collect data here...
Now this one looks a comment that has never dealt with canary traps for sure.
Privacy preserving? More like avoiding lawsuits due to copyrighted information
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.
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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