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-# Trace: End-to-end Generative Optimization for AI Systems and Agents
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+# Trace: End-to-end Generative Optimization for AI Systems and Agents



[](https://arxiv.org/abs/2406.16218)
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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 losses, natural language text, compiler errors, etc.). Trace generalizes the back-propagation algorithm by capturing and propagating an AI system's execution trace. Trace is implemented as a PyTorch-like Python library. Users write Python code directly and can use Trace primitives to optimize certain parts, just like training neural networks!
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