What differentiates FrontierMath from existing benchmarks is its design: The set of tasks remains unpublished to avoid data pollution, allowing the AI to truly face challenges rather than relying on pre-existing datasets. While AI models perform well on simpler benchmarks like GSM8K, they struggle to solve FrontierMath’s more complex problems.
Developed with input from more than 60 mathematicians and peer-reviewed by Fields Medal winners, FrontierMath provides solutions that can be verified by complex algorithms or calculations that require large numerical answers.
Epoch AI plans to expand the benchmark and release new problems in the future to further test and test the limits of AI in mathematics.
Source: Ferra
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