March 13, 2024, 8 a.m. | Muhammad Athar Ganaie


Large language models (LLMs) excel in various problem-solving tasks but need help with complex mathematical reasoning, possibly due to the need for multi-step reasoning. Instruction Tuning effectively enhances LLM capabilities. However, its effectiveness is hindered by the scarcity of datasets for mathematical reasoning. This limitation highlights the need for more extensive datasets to fully leverage […]

The post This AI Paper from China Presents MathScale: A Scalable Machine Learning Method to Create High-Quality Mathematical Reasoning Data Using Frontier LLMs appeared …

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