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In Machines we Trust

Mathematical Mysteries Unveiled: A Technical Analysis of ChatGPT's Limitations

In Machines we Trust

In Machines we Trust

Technology

00 Ratings

🗓️ 22 February 2024

⏱️ 7 minutes

🧾️ Download transcript

Summary

In this episode, we unveil the mathematical mysteries surrounding ChatGPT's limitations through a technical analysis, scrutinizing the intricacies of model architecture, training methodologies, and the interplay between language comprehension and numerical processing.

Transcript

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0:00.0

Can chat GPT do math?

0:02.2

This is a question a lot of people have had,

0:03.9

especially people in school,

0:05.7

or even just if you're trying to get some quick back

0:07.7

of the envelope math done, right on the fly.

0:10.2

A lot of people want to know, can chat GPT do math.

0:12.7

It can do coding, it can do writing,

0:14.7

it can do a lot of things, but is it good at math?

0:16.9

And this is actually one area that chat GPT

0:20.2

is not good at, I would say.

0:21.6

In fact, to the point that it's pretty well recognized, it is pretty notoriously bad at math.

0:26.6

And the reason for this is because the way chat GPT works.

0:29.6

ChatGPT is a predictive language model, meaning all it's doing is typically predicting the next word that should come in a sentence.

0:39.3

And so it's not really sitting there and computing a lot of what's going on.

0:43.3

And again, we also see that problem with fact checking.

0:45.3

You know, it'll come up with lots of different facts that are not accurate.

0:48.3

Typically, when I find it writing stories, it's going to get the dates wrong,

0:52.3

it's going to get the amounts wrong, it's going to get the amounts wrong. It's going to get the

0:54.4

dollars wrong. And so it's definitely not very good at math. But the problem is that it can be very

1:01.2

convincing in its responses. So today we're going to dive into a little bit about how chat GPT works in

1:07.6

regards to the math side of things, looking at some strengths it has, looking at some

1:11.8

weaknesses, and overall at the end of the day what it can do. And then I'm going to run an actual

...

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