Evals & Safety
FrontierMath
A benchmark from Epoch AI made up of hundreds of original, unpublished math problems written and vetted by expert mathematicians.
In depth
A benchmark from Epoch AI made up of hundreds of original, unpublished math problems written and vetted by expert mathematicians. The problems span fields from number theory and real analysis to algebraic geometry and category theory. A typical problem takes a specialist hours to solve, and the hardest take days. Answers are checked automatically, and because the problems are new, contamination risk is low. Top models solved under 2% when it launched in 2024.
Primary source: arxiv.org
Example
In practice, developers reach for FrontierMath when they need the capability described above as part of an AI feature or workflow.
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FAQ
Common questions
What is FrontierMath?
A benchmark from Epoch AI made up of hundreds of original, unpublished math problems written and vetted by expert mathematicians.
Why does FrontierMath matter for AI developers?
FrontierMath sits in the Evals & Safety part of the AI stack. Understanding it helps you make better decisions when building, debugging, and shipping AI features.
Where can I learn more about FrontierMath?
Developers Digest publishes tutorials and videos that cover Evals & Safety topics including FrontierMath. Check the blog and YouTube channel for hands-on walkthroughs.
Related
Related terms
Evals & Safety
LiveBench
A general LLM benchmark built to resist test set contamination by adding new questions every month from recent sources such as math competitions, arXiv papers, news articles, and datasets.
Evals & Safety
Benchmark Contamination
Benchmark contamination happens when a model's training data contains the questions or answers from an evaluation benchmark.
Evals & Safety
HumanEval
A code generation benchmark from OpenAI made of 164 hand-written Python programming problems, each with a function signature, a docstring, and unit tests.
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