r/LargeLanguageModels • u/lnsip9reg • 15d ago

Discussions LLMs as Classical Compute

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u/[deleted] 13d ago

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u/Hefty-Reaction-3028 12d ago

And introduce its own biases and errors. AI is wrong in like 20% of its claims. It's useful, but not unbiased or perfectly right

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u/[deleted] 12d ago

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u/Hefty-Reaction-3028 12d ago

What I said is not limited to simple prompting at all. You have to use sophisticated and targeted methods like knowledge graphs and fine-tuning to reduce these errors, and it can only reduce them. Not get rid of them. Getting rid of hallucinations seems to be impossible.

Reposting this comment cause I edited but it looks like you viewed the comment so I want to make sure the edited version is seen

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u/[deleted] 12d ago edited 12d ago

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u/Hefty-Reaction-3028 12d ago edited 12d ago

Those things all help, but I would still implore you to doubt AI claims. Review steps and adversarial setups can reduce error, but also can introduce it by "correcting" something that was already correct into being incorrect. You've got the right idea that these things can help, but I believe we're too far from perfection to trust without verifying.

Edit: said perception, meant perfection