this post was submitted on 09 Mar 2024
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How Quickly Do Large Language Models Learn Unexpected Skills? (nautil.us)
submitted 8 months ago by dominiquec@lemmy.world to c/technology@lemmy.world
6 comments fedilink hide all child comments
 

So-called "emergent" behavior in LLMs may not be the breakthrough that researchers think.

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[–] UraniumBlazer@lemm.ee 0 points 8 months ago (2 children)

TLDR: Let's say you want to teach an LLM a new skill. You give them training data pertaining to that skill. Currently, researchers believe that this skill development shows up suddenly in a breakthrough fashion. They think so because they measure this skill using some methods. The skill levels remain very low until they unpredictably jump up like crazy. This is the "breakthrough".

BUT, the paper that this article references points at flaws in the methods of measuring skills. This paper suggests that breakthrough behavior doesn't really exist and skill development is actually quite predictable.

Also, uhhh I'm not AI (I see that TLDR bot lurking everywhere, which is what made me specify this).

[–] inspxtr@lemmy.world 0 points 8 months ago (1 children)

re: your last point, AFAIK, the TLDR bot is also not AI or LLM; it uses more classical NLP methods for summarization.

[–] far_university1990@feddit.de 0 points 8 months ago

https://github.com/RikudouSage/LemmyAutoTldrBot readme say summarization is in summarizer.py which use sumy, specifically LSA which documented here

[–] Venator@lemmy.nz 0 points 8 months ago (1 children)

Also, uhhh I'm not AI

An AI would say that... 😂

[–] gravitas_deficiency@sh.itjust.works 0 points 8 months ago

Clearly, the AI is learning deception