

Frontiermath
Overview :
FrontierMath is a mathematical benchmarking platform designed to test the limits of artificial intelligence in solving complex mathematical problems. Created by over 60 mathematicians, it spans the full spectrum of modern mathematics, from algebraic geometry to Zermelo-Fraenkel set theory. Each problem on FrontierMath requires expert mathematicians to invest hours of work, and even state-of-the-art AI systems like GPT-4 and Gemini can solve less than 2% of the problems. This platform provides a genuine assessment environment, with all problems being novel and unpublished, eliminating the common data contamination issues found in existing benchmarks.
Target Users :
Targeted at mathematicians, AI researchers, and students and professionals interested in the intersection of mathematics and AI, FrontierMath provides a platform to test and enhance AI's ability to solve complex mathematical problems, while also offering mathematicians a space to challenge and validate their theories.
Use Cases
Mathematicians use FrontierMath to test their theories and explore new solutions.
AI researchers leverage FrontierMath as a benchmark to evaluate and enhance the performance of their AI systems.
Educational institutions use FrontierMath as a teaching tool to inspire students’ interest in mathematics and AI.
Features
? Unprecedented Difficulty: Each problem requires expert mathematicians to invest hours of work.
? Genuine Assessment: All questions are new and unpublished, removing concerns about data pollution.
? Mathematical Depth: Developed in collaboration with over 60 mathematicians, covering the full spectrum of modern mathematics.
? Research-Grade Problems: Showcases profound and broad mathematical challenges.
? Academic Support: Provides detailed academic papers outlining FrontierMath's methodologies, assessment procedures, and thorough analyses.
? Expert Evaluation: Problems are evaluated for difficulty by multiple experts in the field, including Fields Medalists.
? Community Engagement: Encourages mathematicians and AI researchers to collaborate and advance AI in the field of mathematics.
How to Use
1. Visit the FrontierMath website: https://epochai.org/frontiermath
2. Browse different mathematical problems and fields, selecting those of interest.
3. Read the problem descriptions and related background information to understand the specific requirements.
4. Download or view academic papers related to the problems to gain a deeper understanding of the research background and methodologies.
5. Attempt to solve the mathematical problems, either individually or collaboratively as a team.
6. Submit your solutions; the FrontierMath platform will provide feedback and assessment results.
7. Participate in community discussions to exchange problem-solving experiences and strategies with other mathematicians and AI researchers.
8. Regularly visit the site to stay updated on the latest research developments and newly released mathematical problems.
Featured AI Tools

Tensorpool
TensorPool is a cloud GPU platform dedicated to simplifying machine learning model training. It provides an intuitive command-line interface (CLI) enabling users to easily describe tasks and automate GPU orchestration and execution. Core TensorPool technology includes intelligent Spot instance recovery, instantly resuming jobs interrupted by preemptible instance termination, combining the cost advantages of Spot instances with the reliability of on-demand instances. Furthermore, TensorPool utilizes real-time multi-cloud analysis to select the cheapest GPU options, ensuring users only pay for actual execution time, eliminating costs associated with idle machines. TensorPool aims to accelerate machine learning engineering by eliminating the extensive cloud provider configuration overhead. It offers personal and enterprise plans; personal plans include a $5 weekly credit, while enterprise plans provide enhanced support and features.
Model Training and Deployment
307.5K
English Picks

Ollama
Ollama is a local large language model tool that allows users to quickly run Llama 2, Code Llama, and other models. Users can customize and create their own models. Ollama currently supports macOS and Linux, with a Windows version coming soon. The product aims to provide users with a localized large language model runtime environment to meet their personalized needs.
Model Training and Deployment
265.8K