Adala VS DemoGPT

We recently open sourced an agent framework [1] for automating data processing and labeling where the prompt is refined trough iterations (i.e. automatic prompt tuning). We tested it on the Math reasoning dataset GSM8k and where able to improve the baseline accuracy (GPT4) by 45% -> 74% using 25 labeled examples (I'll put the notebook and blog post linked below [2][3]). Results are definitively very interesting, if not surprising with some skills, and we see more and more of our open source users and customers showing interested in the framework for automating labeling / having it as a data processing / labeling copilot.

[1] https://github.com/HumanSignal/Adala

[2] https://github.com/HumanSignal/Adala/blob/master/examples/gs...

[3] https://labelstud.io/blog/mastering-math-reasoning-with-adal...

We have just open sourced Adala - a robust framework for implementing agents that specialize in advanced data processing tasks, starting with data labeling and generation.

🌟 🌟 🌟 If you find our tool useful and want to show your support, please consider giving our DemoGPT Github repository a star.

Here's the link to the GitHub repository: https://github.com/melih-unsal/DemoGPT

⭐ ⭐ ⭐ You can starring us if you're using DemoGPT so more people hear about us!