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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!

* AlphaGeometry: 25/30 problems solved.
* Previous state-of-the-art (Wu's method): 10/30 problems solved.
* Strongest baseline (DD + AR + human-designed heuristics): 18/30 problems solved.
* ChatGPT-4 : 0/30 problems.

How Neural Networks + Symbolic Systems is revolutionizing automated theorem proving: A visual guide https://codecompass00.substack.com/p/google-deepmind-alpha-geometry-neuro-symbolic-llm-system

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