TEXTGRAD enables automatic differentiation via text, utilizing LLMs to provide natural language feedback for optimizing variables in computation graphs across various domains.
The framework is versatile, user-friendly, and open-source, focusing on optimizing complex functions with interpretable textual gradients for better system performance.
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