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zou-group/textgrad

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TextGrad: Automatic ''Differentiation'' via Text -- using large language models to backpropagate textual gradients. Published in Nature.

7 mentions on Hacker News by 5 people: 1 story, 6 comments · first 2024-08-11 · latest 2026-08-01

Mentions per year 7 mentions · busiest year 2024 (4)
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  1. ▲ 2
    TextGrad: Automatic "Differentiation" via Text
    story by rzk · 2026-08-01 · 0 comments
  2. …of them don't even do the obvious step of trying to actually optimize/engineer their damn prompts! https://github.com/zou-group/textgrad and bonus, my rant about this circa 2023 in the context of Stable Diffusion models:…
    comment by Der_Einzige · 2025-11-23 · in 73% of AI startups are just prompt engineering
  3. …ytics.wharton.upenn.edu/generative-ai-labs/re... My point still holds that it is optimizable though ( https://github.com/zou-group/textgrad , https://arxiv.org/abs/2501.16673 ) >Subjects develop elaborate "rain dances" in the belief that…
  4. …'Differentiation' via Text -- using large language models to backpropagate textual gradients: https://github.com/zou-group/textgrad [3]What's the Magic Word? A Control Theory of LLM Prompting: https://arxiv.org/abs/2310.04444 [4]Language…
    comment by ValentinA23 · 2024-10-12 · in Swarm, a new agent framework by OpenAI
  5. …to prompt chains described in papers (i.e. Chain of thought, Tree of thought, etc). Textgrad ( https://github.com/zou-group/textgrad ) is an even worse example of this, as it makes people think that it's not just a prompt optimizing…
    comment by Der_Einzige · 2024-09-25 · in On Impactful AI Research
  6. …Just like PyTorch is for model-training. Our benchmark has compared with Dspy and Text-grad( https://github.com/zou-group/textgrad ) We have better accuracy, more token-efficient, and faster convergence speed. We are publishing three…
  7. Agreed 100%. DSPy along with libraries inspired by it (i.e. https://github.com/zou-group/textgrad ) are nothing more than fancy prompt chains under the hood. These libraries mostly exist as "cope" for the fact that we don't have good…
    comment by Der_Einzige · 2024-08-11 · in Betting on DSPy for Systems of LLMs