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4 points

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.

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0 points

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.

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