hkust-nlp/dart-math
[NeurIPS'24] Official code for *🎯DART-Math: Difficulty-Aware Rejection Tuning for Mathematical Problem-Solving*
This project helps developers improve how their AI models solve mathematical problems. By using a 'difficulty-aware' training approach, it takes mathematical problems and solutions as input and produces a more accurate and robust AI model for math problem-solving. It's designed for AI/ML developers or researchers who build and fine-tune large language models for complex reasoning tasks.
121 stars. No commits in the last 6 months.
Use this if you are an AI/ML developer looking to create more accurate and robust language models for mathematical problem-solving, especially for challenging or diverse math datasets.
Not ideal if you are looking for a pre-built, end-user application to solve math problems directly, as this is a framework for training underlying AI models.
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Jupyter Notebook
License
MIT
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Last pushed
Dec 10, 2024
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