Ivan Moshkov & Daria Gitman - How to Build an LLM for Math Reasoning without Proprietary Data?
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Ivan Moshkov and Daria Gitman explain how to build a math reasoning LLM without proprietary data by using synthetic datasets, a three-tiered solution approach, and innovative evaluation techniques to enhance reasoning accuracy and model performance.
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Best quote from Ivan Moshkov & Daria Gitman - How to Build an LLM for Math Reasoning without Proprietary Data?
This simple trick helped us improve training set coverage by 133%, while having very clean data without any cheating solutions and without requiring us to spend a ton of time filtering such cheating solutions.
—PyData
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