DeepSeek is focused on reducing the hurdles so that more researchers and developers can easily experiment with its cutting-edge AI technology.
According to Harvard AI researcher Huang Yichen and UCLA computer science professor Yang Lin, the International Mathematical Olympiad (IMO) has been held every year since 1959 and is known worldwide as the most respected math competition. Its problems require deep understanding, creative thinking, and strong logical skills.
The Chinese AI startup DeepSeek has made its Math-V2 model available to the public. It can be easily accessed on Hugging Face and GitHub, and its flexible license allows developers to modify and use the system freely.
The Math-V2 model has shown a performance equivalent to a gold medal at the IMO, a level of success that demands both accurate solutions and clear, justifiable reasoning, a benchmark met by only about 8 percent of human contestants.
Breaking Down Global Barriers to Advanced Mathematics
DeepSeek claims its Math-V2 model earned scores equivalent to the gold medal in problems from both the most recent International Mathematical Olympiad and the 2024 Chinese Mathematical Olympiad.
According to the South China Morning Post, DeepSeek’s decision to open-source its Math-V2 model is intended to reduce access hurdles for researchers and developers. This move allows them to readily experiment with an advanced AI system that can tackle high-level mathematical reasoning, a capability previously restricted primarily to proprietary (closed-source) technologies.
In their post on Hugging Face, DeepSeek researchers stressed that enhancing the mathematical abilities of AI could fundamentally change scientific research, aiding everything from running complex simulations to solving theoretical problems.
ArtificialIintelligence Systems Score High On Standard Math Tests!
The researchers warned that many current AI systems are designed mainly to excel at standard math tests, which get high scores, but often fail to genuinely enhance the crucial reasoning and problem-solving skills needed for real innovation. To improve the accuracy and logic of their AI’s mathematical thinking, the DeepSeek researchers focused on giving the model the ability to “self-verify” its own solutions, even when tackling problems that lack readily available answers.
This integrated self-checking feature enables the AI to evaluate the coherence and soundness of its own reasoning, thereby guaranteeing that its conclusions are not only accurate for problems with existing answers but also dependable when addressing new or unsolved mathematical problems.
