[PDG 467] Optimizing generative AI by backpropagating language model feedback

Link to article: https://www.nature.com/articles/s41586-025-08661-4 (or https://www.scribd.com/document/862266869/s41586-025-08661-4 or older textgrad paper https://arxiv.org/pdf/2406.07496)
Title: Optimizing generative AI by backpropagating language model feedback
Content: TextGrad is a framework that enables automatic optimization of AI systems by backpropagating natural language feedback from LLMs, analogous to how backpropagation revolutionized neural network training. The authors demonstrate its effectiveness across diverse domains including scientific problem-solving, radiotherapy planning, molecule design, coding, and agentic system optimization.
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