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[LG] InfinityMATH: A Scalable Instruction Tuning Dataset in Programmatic Mathematical Reasoning https://t.co/0rW1gV2hW1 - The paper introduces InfinityMath, a scalable instruction tuning dataset for programmatic mathematical reasoning. - The key idea is to decouple… https://t.co/hXFP4pD8Nx
InfinityMath: A Scalable Instruction Tuning Dataset for Programmatic Mathematical Reasoning https://t.co/7eeJb0VkKh #InfinityMath #AIcapabilities #MathematicalReasoning #AIevolution #AutomationOpportunities #ai #news #llm #ml #research #ainews #innovation #artificialintellige… https://t.co/GlFTv7ihoQ
InfinityMath: A Scalable Instruction Tuning Dataset for Programmatic Mathematical Reasoning A research team from the Beijing Academy of Artificial Intelligence and China University of Mining & Technology has proposed a scalable dataset for programmatic mathematical reasoning… https://t.co/zaYHMWSuzc
A research team from the Beijing Academy of Artificial Intelligence and China University of Mining & Technology has introduced InfinityMath, a scalable instruction tuning dataset designed to enhance programmatic mathematical reasoning. This dataset aims to improve language models' capabilities in mathematical reasoning by employing methods such as Chain-of-Thoughts (CoT) and Program-of-Thoughts (PoT). InfinityMath is expected to contribute significantly to the evolution of artificial intelligence by providing a structured approach to mathematical problem-solving.
