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What percent of LLM knowledge requires proficiency in anything you mentioned?

From what I’ve seen it’s a small percentage, and there’s no reason for most people to be put off by it.

Everyone come on in the water is fine.



Between 0% and idk 70%? depending on what you're doing.


Looking at the theory as a whole it’s a very small minority.

I’m trying to think if it’s 0 percent outside of backprop…

Arguably high school math gets you quite a bit of understanding. After that in descending order I’d guess Linear Algebra, Statistics/Probability, Basic Calculus, Partial Derivatives…

In other words it’s not all or nothing. The easiest stuff gets you a lot of bang for your buck.


Are you a researcher in ML? What is your focus? I'm in image synthesis/explicit density modeling.




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