this post was submitted on 28 Jun 2024
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Science Memes

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[–] fckreddit@lemmy.ml 21 points 4 months ago* (last edited 4 months ago) (8 children)

This is something I already mentioned previously. LLMs have no way of fact checking, no measure of truth or falsity built into. In the training process, it probably accepts every piece of text as true. This is very different from how our minds work. When faced with a piece of text we have many ways to deal with it, which range from accepting it as it is to going on the internet to verify it to actually designing and conducting experiments to prove or disprove the claim. So, yeah what ChatGPT outputs is probably bullshit.

Of course, the solution is that ChatGPT be trained by labelling text with some measure of truth. Of course, LLMs need so much data that labelling it all would be extremely slow and expensive and suddenly, the fast moving world of AI to screech to almost a halt, which would be unacceptable to the investors.

[–] iamkindasomeone@feddit.de 1 points 4 months ago (2 children)

Your statement on no way of fact checking is not a 100% correct as developers found ways to ground LLMs, e.g., by prepending context pulled from „real time“ sources of truth (e.g., search engines). This data is then incorporated into the prompt as context data. Well obviously this is kind of cheating and not baked into the LLM itself, however it can be pretty accurate for a lot of use cases.

[–] fckreddit@lemmy.ml 2 points 4 months ago (1 children)

Does using authoritative sources is fool proof? For example, is everything written in Wikipedia factually correct? I don’t believe so unless I actually check it. Also, what about reddit or stack overflow? Can they be considered factually correct? To some extent, yes. But not completely. That is why most of these LLMs give such arbitrary answers. They extrapolate on information they have no way knowing or understanding.

[–] iamkindasomeone@feddit.de 0 points 4 months ago

I don’t quite understand what you mean by extrapolate on information. LLMs have no model of what an information or the truth is. However, factual information can be passed into the context, the way Bing does it.

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