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【第180期】LLM-AutoDiff:一个基于梯度的自动化提示工程

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LLM-AutoDiff: Auto-Differentiate Any LLM Workflow

Summary

The provided research introduces LLM-AutoDiff, a novel framework for automating prompt engineering for complex Large Language Model workflows. This system extends gradient-based optimization to multi-step and cyclic LLM applications by treating textual inputs as trainable parameters. LLM-AutoDiff constructs a graph representing the workflow, enabling a "backward engine" LLM to generate feedback that guides iterative prompt improvements, even across functional nodes and repeated calls…

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