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submitted 10 months ago by yogthos@lemmy.ml to c/technology@lemmy.ml
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[-] yogthos@lemmy.ml 6 points 10 months ago

Basically, the model just makes stuff up.

[-] Joker@discuss.tchncs.de 4 points 10 months ago

Not sure why someone downvoted you. That’s exactly what the term means in this context. It’s those confidently written answers that contain false or fabricated information.

[-] yogthos@lemmy.ml 0 points 10 months ago

And this seems like the biggest limitation for the LLM approach. The model just knows that a certain set of tokens tends to follow another set of tokens.

It has no understanding of what the tokens represent. So it does a great job of producing sentences that look meaningful, but any actual meaning in them is purely incidental.

this post was submitted on 02 Dec 2023
17 points (74.3% liked)

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