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Apple study exposes deep cracks in LLMs’ “reasoning” capabilities (arstechnica.com)
submitted 2 years ago by to c/technology@lemmy.world
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[–] 9 points 2 years ago* (4 children)

So I keep seeing people reference this... And I found it curious of a concept that LLMs have problems with this. So I asked them... Several of them...

Outside of this image... Codestral ( my default ) got it actually correct and didn't talk itself out of being correct... But that's no fun so I asked 5 others, at once.

What's sad is that Dolphin Mixtral is a 26.44GB model...
Gemma 2 is the 5.44GB variant
Gemma 2B is the 1.63GB variant
LLaVa Llama3 is the 5.55 GB variant
Mistral is the 4.11GB Variant

So I asked Codestral again because why not! And this time it talked itself out of being correct...

Edit: fixed newline formatting.

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  • [–] 1 point 2 years ago (1 child)

    Interesting. . . I'd say Gemma 2B wasn't actually wrong - it just didn't answer the question you asked! I wonder if they have this problem with other letters - like maybe it's something to do with how we say w as double-you . . . But maybe not, because they seem to be underestimating rather and overestimating. But yeah, I guess the fuckers just can't count. You'd think a question using the phrase 'How many . . .' would be a giveaway that they might need to count something rather than rely on knowledge base.

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