DeepSeek-Prover-V1.5: Reinforcement Learning and Monte Carlo Tree Search with Proof Assistant Feedback

1. Tutorial Introduction

This tutorial deploys the DeepSeek-Prover-V1.5 model with one click. This model is a mathematical theorem proving model that DeepSeek open-sourced in 2024. The research team introduced this model in Lean 4. The model builds a "Go"-style learning environment through self-iteration and Lean prover supervision.

The latest results of DeepSeek-Prover-V1.5 show that AI can independently solve multi-step complex proof problems with its powerful logical reasoning ability. This breakthrough not only demonstrates the great potential of AI in mathematical theorem proving, but also lays a solid foundation for the future development of AI systems that can independently propose and prove complete mathematical theories. These systems will help human mathematicians explore mathematical truths more deeply and promote the frontier development of mathematical research.

2. How to use

Step 1: After starting the container, click the API address to enter the web interface

Step 2: Enter the theorem formula to be proved or select an example (currently supports English) in the dialog box, click Submit, and generate the result.