this post was submitted on 25 Mar 2024
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32
How well can LLMs solve chess puzzles? (github.com)
submitted 7 months ago by httpjames@sh.itjust.works to c/technology@lemmy.world
22 comments fedilink hide all child comments
 

Each LLM is given the same 1000 chess puzzles to solve. See puzzles.csv. Benchmarked on Mar 25, 2024.

Model Solved Solved % Illegal Moves Illegal Moves % Adjusted Elo
gpt-4-turbo-preview 229 22.9% 163 16.3% 1144
gpt-4 195 19.5% 183 18.3% 1047
claude-3-opus-20240229 72 7.2% 464 46.4% 521
claude-3-haiku-20240307 38 3.8% 590 59.0% 363
claude-3-sonnet-20240229 23 2.3% 663 66.3% 286
gpt-3.5-turbo 23 2.3% 683 68.3% 269
claude-instant-1.2 10 1.0% 707 66.3% 245
mistral-large-latest 4 0.4% 813 81.3% 149
mixtral-8x7b 9 0.9% 832 83.2% 136
gemini-1.5-pro-latest* FAIL - - - -

Published by the CEO of Kagi!

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[–] General_Effort@lemmy.world 2 points 7 months ago (1 children)

Depends on circumstances, obviously.

[–] bionicjoey@lemmy.ca 1 points 7 months ago (1 children)

Okay. What if the circumstance is because I'm just recalling a bunch of chess puzzle solutions I've seen before and regurgitating the one I think is the correct solution for this particular pizzle without really understanding the rules of chess?

[–] General_Effort@lemmy.world 1 points 7 months ago

That's another thing I'm wondering about, but so is anyone. I'd still want to know why GPT-4 does so much better than the others.