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submitted 4 months ago* (last edited 4 months ago) by seahorse@midwest.social to c/technology@midwest.social
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[-] tyler@programming.dev 4 points 4 months ago

Overtraining has actually shown to result in emergent math behavior (in multiple independent studies), so that is no longer true. The studies were done where the input math samples are “poisoned” with incorrect answers to example math questions. Initially the LLM responds with incorrect answers, then when overtrained it finally “figures out” the underlying math and is able to solve the problems, even for the poisoned questions.

[-] Anticorp@lemmy.world 5 points 4 months ago

That's pretty interesting, and alarming.

Do you have these studies? I can't find much.

[-] tyler@programming.dev 2 points 4 months ago

I searched for like 20 minutes but was unable to find the article I was referencing. Not sure why. I read it less than a month ago and it referenced several studies done on the topic. I'll keep searching as I have time.

It's okay, man. If it really is improving, I'm sure it'll come up again at some point.

[-] tyler@programming.dev 1 points 4 months ago

Yeah I'd like to find it though so I don't sound like I'm just spewing conspiracy shit out of my ass. Lots of people think that LLMs just regurgitate what they've trained on, but it's been proven not to be the case several times now. (I know that LLMs are quite 'terrible' in many ways, but people seem to think they're not as capable and dangerous as they actually are). Maybe I'll find the study again at some point...

this post was submitted on 28 Jun 2024
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