Hala Taha

It's inspired.

It's inspired.

That's a really, really helpful distinction right there.

That's a really, really helpful distinction right there.

Yes.

Yes.

So talk to us about how AI models are trained.

So talk to us about how AI models are trained.

Like how does AI learn typically?

Like how does AI learn typically?

So it's so interesting.

So it's so interesting.

Like basically like ChatGBT, it's just predicting the next word and the next word and the next word and the next word based on all the different patterns and trying to figure out what makes sense to come next.

Like basically like ChatGBT, it's just predicting the next word and the next word and the next word and the next word based on all the different patterns and trying to figure out what makes sense to come next.

So that's super clear.

So that's super clear.

What I don't understand with something like ChatGBT is that it's so good at writing human language, but it's known to make like simple math mistakes, right?

What I don't understand with something like ChatGBT is that it's so good at writing human language, but it's known to make like simple math mistakes, right?

How is it possible that it's good at doing human language, but then on math, for example, it's known to make like stupid mistakes?

How is it possible that it's good at doing human language, but then on math, for example, it's known to make like stupid mistakes?