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I really love your design philosophy principles - especially the abstractions you have used to achieve it! (I was myself starting to design a textgrad fork with async compatibility in mind)
I think to enhance AdalFlow's build / optimize task pipeline the integration into Mlflow would highly beneficial.
The complete design of AdaFlow follows the design of a ML problem, well suited for MLOps and especially the workflow management of MLflow (evaluation and metrics exports, experiments and runs namespacing, model deployment, etc.).
MLflow is currently making progress into transitioning into the genAI worlds. This would be a great add-on.
What do you guys think?
The text was updated successfully, but these errors were encountered:
I really love your design philosophy principles - especially the abstractions you have used to achieve it! (I was myself starting to design a textgrad fork with async compatibility in mind)
I think to enhance AdalFlow's build / optimize task pipeline the integration into Mlflow would highly beneficial.
The complete design of AdaFlow follows the design of a ML problem, well suited for MLOps and especially the workflow management of MLflow (evaluation and metrics exports, experiments and runs namespacing, model deployment, etc.).
MLflow is currently making progress into transitioning into the genAI worlds. This would be a great add-on.
What do you guys think?
The text was updated successfully, but these errors were encountered: