MiniMax open-source math proof framework MaxProof: Using evolutionary search to push M3 to the IMO gold standard
MiniMax founder Yan Junjie announced the open-source math proof framework MaxProof. This framework automatically selects the right difficulty training data through evolutionary search, eliminating the need for manual labeling, ultimately pushing MiniMax M3 to the international math olympiad gold benchmark. This is a significant open-source contribution from the Chinese AI team in the field of mathematical reasoning, following DeepSeek.
Why it matters: MaxProof addresses the pain points of high training data labeling costs and difficulty matching in AI mathematical reasoning, and it has the potential to accelerate breakthroughs in AI applications in scientific research and complex reasoning.
#AI #MiniMax #大模型 #artificialintelligence
MiniMax founder Yan Junjie announced the open-source math proof framework MaxProof. This framework automatically selects the right difficulty training data through evolutionary search, eliminating the need for manual labeling, ultimately pushing MiniMax M3 to the international math olympiad gold benchmark. This is a significant open-source contribution from the Chinese AI team in the field of mathematical reasoning, following DeepSeek.
Why it matters: MaxProof addresses the pain points of high training data labeling costs and difficulty matching in AI mathematical reasoning, and it has the potential to accelerate breakthroughs in AI applications in scientific research and complex reasoning.
#AI #MiniMax #大模型 #artificialintelligence