TextGrad: Automatic ''Differentiation'' via Text -- using large language models to backpropagate textual gradients. Published in Nature.
Use a framework to automatically calculate gradients for text, enhancing AI optimization tasks.
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Free · no card · unsubscribe anytimeTextGrad: Automatic ''Differentiation'' via Text -- using large language models to backpropagate textual gradients. Published in Nature.
textgrad has 3.7k stars on GitHub. It has been forked 293 times. textgrad is written mainly in Python. It has been in active development since 2024. textgrad is available under the MIT license. Its main topics are ai-optimization, compound-systems, large-language-models, prompt-optimization.
TextGrad: Automatic ''Differentiation'' via Text -- using large language models to backpropagate textual gradients. Published in Nature.
textgrad is an open-source project. It is released under the MIT license.
Yes. textgrad is free and open source — you can use, modify and self-host it.
textgrad is available under the MIT license.
textgrad is written mainly in Python.
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