Pretty sure you just got lucky examples cahtgpt isn't doing any logical reasoning. Everything it outputs is statistically generated not logically reasoned

The question is not related to /r/MachineLearning

Did you really need to numerically compute the gradient to check it was OK? Dude this is high-school math.

These posts are getting out of hand

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>ChatGPT seems to have good skills to calculate

No, it doesn't. It's a statistical language model, not a rule-based calculator.

“Can we use ChatGPT to use ChatGPT?” GTFO

Dude it's ok, I know it is high-school math you proved your point you are genius you know high-school math I don't.

That was not my aim. It was to treat the ChatGPT implementation as a black-box without touching it, and see whether is correct.

Yes, I see your point, thanks. Probably I got a lucky shot. In any case, ChatGPT was updates with math reasoning so I was just curious.

ChatGPT running on ChatGPT like a Turing Machine. GTFO!

Okay everyone, easy with the negative sentiment, I'm just experimenting with it, was curious to hear some opinion. But there it is I have it now .... nothing constructive in general except one comment.

In the recent update it was mentioned that the math skills were improved. So I was just curious to see. But thanks for your opinion.

I'll admit that my comment may come off as elitist, but I think that you have to admit that this was a very low effort post. Maybe a more correct sub for this post would have been r/learnmachinelearning.

Ideally we have to generate many examples as such without seeing them and wrap them in some test suite using automatic differentiation to see how many will come out correct.

Something similar to what the authors did in the OpenAI Codex model. They provided the function signature and the docstrings and promted the model to generate the rest of it. Then they wrapped the generated function into test suites and calculated how many of them pass. It's the pass@K metric.

I am not aware if something similar is done for differentiation, maybe there is, I have to search for.

Well that good be an amazing post to read. How many times does it get math questions right but with an statistically significant number of samples. So that we can actually compare to the state of the art, such as galactica.