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Love your project! Super excited to explore it more with my data. I think it's a super exciting direction for the field.
In the docs you mention two pieces of research - Text-Grad 2.0 and Learn-to-Reason Few-shot In Context Learning. I'm trying to learn more about the general concepts and ideas behind this project. Are these papers available or will they be soon? If not, what is the best resource for understanding the methodology behind the code?
The text was updated successfully, but these errors were encountered:
@liechtym Thank you. We are still working on benchmarking and more complicated system, will come! For now, you can check the use cases: https://adalflow.sylph.ai/use_cases/index.html where you get to see the optimizer in actions on various applications.
Love your project! Super excited to explore it more with my data. I think it's a super exciting direction for the field.
In the docs you mention two pieces of research -
Text-Grad 2.0
andLearn-to-Reason Few-shot In Context Learning
. I'm trying to learn more about the general concepts and ideas behind this project. Are these papers available or will they be soon? If not, what is the best resource for understanding the methodology behind the code?The text was updated successfully, but these errors were encountered: