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A new technique called TextGrad uses textual gradients to refine prompts for smaller language models. The method treats natural language feedback as a gradient signal, enabling iterative prompt improvement without large-scale fine-tuning. This approach elevates smaller LLMs to compete with larger counterparts on complex reasoning tasks.
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