How Google DeepMind's AlphaGeometry Reached Math Olympiad Level Reasoning By Combining Creative LLMs With Deductive Symbolic Engines: A visual guide
TL;DR: AlphaGeometry consists of two main components:
1. A neural language model: Trained from scratch on large-scale synthetic data. 2. A symbolic deduction engine: Performs logical reasoning and algebraic computations.
This **open-sourced** system can solve **25 out of 30** Olympiad-level geometry problems, outperforming previous methods and approaching the performance of International Mathematical Olympiad (IMO) gold medalists. A general purpose LLM like **ChatGPT-4 solved 0 out of 30** problems!