India, Nov. 28 -- DeepSeek has introduced DeepSeekMath-V2, a new mathematical reasoning model that shifts the focus from achieving correct final answers to ensuring rigorous, verifiable reasoning. This model addresses a long-standing challenge in Large Language Models (LLMs); a correct numerical answer does not guarantee the underlying reasoning is sound, a crucial flaw when tackling complex tasks like theorem proving that demand step-by-step logical derivations.

The model is built upon the DeepSeek-V3.2-Exp-Base architecture and is available as an open-source release on Hugging Face. Its core lies in a self-verification framework that allows the AI to critique and correct its own proofs.

DeepSeekMath-V2 employs a dual-model system, usi...