Broadly. All AI models are bad at math. By math I mean mathematical reasoning, not arithmetic. (It’s already well-known they’re bad at arithmetic unsupplemented.)
Actually – they’re pretty good at math as far as a typical undergrad goes. But they still make a lot of mistakes; 40% of the time is not an unreasonable estimate, depending on use case.
Which one?
which of what category?
I’m confused. Are you saying all AI models are bad at math, or one in particular? You’re speaking broadly, so I assume the former.
Broadly. All AI models are bad at math. By math I mean mathematical reasoning, not arithmetic. (It’s already well-known they’re bad at arithmetic unsupplemented.)
Actually – they’re pretty good at math as far as a typical undergrad goes. But they still make a lot of mistakes; 40% of the time is not an unreasonable estimate, depending on use case.