#textgrad

Reducing GPT-4 API Cost by reducing Prompt Decompression To reduce the size of a prompt, you can use compression techniques. One way to do this is by using GPT’s ability to compress and decompress tokens. A recent tweet from @VictorTaelin suggests that GPT…

Old, but it's still amazing how many tokens you can reduce with this technique. medium.com/@parasmadan....
I think it's nice to keep these strategies in mind while there are new concepts every day. I like the combination with #TextGrad for some crazy performance increases #AI #LLM #performance

Here's the non-paywall version of our #TextGrad paper rdcu.be/efRp4! 📜

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I had a lot of fun discussing #textgrad on the @nature.com podcast with @climateadam.bsky.social! It starts at around 12 minutes here www.nature.com/articles/d41...

Optimizing generative AI by backpropagating language model feedback - Nature Generative artificial intelligence (AI) systems can be optimized using TextGrad, a framework that performs optimization by backpropagating large-language-model-generated feedback; TextGrad enable...

💡The key idea of #textgrad is to optimize by backpropagating textual gradients produced by #LLM

Paper: www.nature.com/articles/s41...
Code: github.com/zou-group/te...

Amazing job by Mert Yuksekgonul leading this project w/ Fede Bianchi, Joseph Boen, Sheng Liu, Pan Lu, Carlos Guestrin, Zhi Huang

⚡️Really thrilled that #textgrad is published in @nature.com today!⚡️

We present a general method for genAI to self-improve via our new *calculus of text*.

We show how this optimizes agents🤖, molecules🧬, code🖥️, treatments💊, non-differentiable systems🤯 + more!