AlphaGeometry is a neuro-symbolic system that combines the predictive power of a neural language model with a rule-bound deduction engine to find solutions to geometry problems.
AlphaGeometry combines the predictive power of a neural language model with a rule-bound deduction engine to find solutions to geometry problems.
AlphaGeometry was trained on a dataset of 100 million synthetic examples of varying difficulty, which were generated using a process called symbolic deduction and traceback.
AlphaGeometry demonstrates AI's growing ability to reason logically and discover new knowledge, and it has the potential to advance reasoning for next-generation AI systems.
AlphaGeometry can solve complex geometry problems at a level approaching a human Olympiad gold-medalist.
The AlphaGeometry code and model are open-sourced, allowing researchers and developers to build upon and extend the system.
Solving complex geometry problems
Advancing reasoning for next-generation AI systems
Discovering new knowledge in mathematics
Improving problem-solving abilities in AI systems
Developing sophisticated problem-solving and reasoning in AI systems
Train the system on a large dataset of synthetic examples
Use the system to solve complex geometry problems
Extend the system to other areas of mathematics
Use the system to discover new knowledge in mathematics
Build upon and extend the open-source code and model