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# AG4Masses: AlphaGeometry for the Masses
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An exciting recent development in AI with rigorous logical reasoning ability is the [AlphaGeometry](https://www.nature.com/articles/s41586-023-06747-5) system developed by Google Deepmind. Google made the source code for running AlphaGeometry available on GitHub at [google-deepmind/alphageometry](https://github.com/google-deepmind/alphageometry). However, the AlphaGeometry system as Google released, with the Language Model trained by Google, still requires a tremendous amount of computing power to run when solving problems. As Google's paper mentioned, in order to solve IMO level problems in about 1.5 hour, it needed 4 GPU V100 and up to 250 CPUs. These are not the kind of hardware casual users and hobbyists have access to.
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---
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title: AlphaGeometry Jupyter
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emoji: 💻🐳
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colorFrom: gray
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colorTo: green
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sdk: docker
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pinned: false
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tags:
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- jupyterlab
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suggested_storage: small
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# AG4Masses: AlphaGeometry for the Masses
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An exciting recent development in AI with rigorous logical reasoning ability is the [AlphaGeometry](https://www.nature.com/articles/s41586-023-06747-5) system developed by Google Deepmind. Google made the source code for running AlphaGeometry available on GitHub at [google-deepmind/alphageometry](https://github.com/google-deepmind/alphageometry). However, the AlphaGeometry system as Google released, with the Language Model trained by Google, still requires a tremendous amount of computing power to run when solving problems. As Google's paper mentioned, in order to solve IMO level problems in about 1.5 hour, it needed 4 GPU V100 and up to 250 CPUs. These are not the kind of hardware casual users and hobbyists have access to.
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