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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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[–] snaggen@programming.dev 9 points 7 months ago (1 children)

This is obvious for people who understand the basics of LLM. However, people are fooled by how intelligent these LLM sounds, so they mistake it for actually being intelligent. So, even if this is an open door, I still think it's good someone is kicking it in to make it clear that llms are not generally intelligent.

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

Agreed, it's good to have these kinds of articles so people get a better feel for what tools like this are and aren't.