DeepSeek launches the DeepSeekMath-V2 model.

According to Zhitong Finance, artificial intelligence company DeepSeek recently officially released its next-generation mathematical reasoning model, DeepSeekMath-V2. Built on the DeepSeek-V3.2-Exp-Base architecture, the model demonstrates significant improvements in mathematical reasoning and proof capabilities.

Notably, DeepSeekMath-V2 employs an innovative "self-verifying" training framework. In this mechanism, the model utilizes a large language model (LLM) as a built-in validator, enabling it to automatically review and verify its own generated mathematical proofs.

This design not only enhances the reliability of the reasoning results but also significantly improves the model's self-correction capabilities in complex mathematical problems.

Furthermore, the R&D team continuously optimized the model's performance by introducing high-difficulty mathematical samples, enabling it to exhibit stronger generalization ability and logical rigor when dealing with complex theorem proofs, abstract algebra, and advanced mathematics problems.

This training strategy, centered on "high-quality data-driven" development, further strengthens the model's foundation for applications in professional fields.

The launch of DeepSeekMath-V2 marks a significant step forward in the automation, rigor, and interpretability of mathematical reasoning models, and provides new technical support for further applications in scientific research, educational assistance, and other scenarios.