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![GitHub license](https://img.shields.io/badge/License-MIT-blue.svg)
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[![arXiv](https://img.shields.io/badge/arXiv-1234.56789-b31b1b.svg)](https://arxiv.org/abs/2406.16218)
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**[This repository accomponanies the [Trace paper](https://arxiv.org/abs/2406.16218) and was implemented and maintained by the authors while they were at Microsoft.]**
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Trace is a new AutoDiff-like tool for training AI systems end-to-end with general feedback (like numerical rewards or
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losses, natural language text, compiler errors, etc.). Trace generalizes the back-propagation algorithm by capturing and
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propagating an AI system's execution trace. Trace is implemented as a PyTorch-like Python library. Users write Python

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