Hi everyone,
I’m currently exploring the implementation of Hybrid AI in my Rasa projects and am curious to learn from your experiences. Hybrid AI combines rule-based and machine learning approaches, which seems promising, but I imagine it also comes with its own set of challenges.
What specific difficulties have you faced while implementing Hybrid AI in your Rasa projects? Were there particular issues with integration, data handling, or maintaining balance between the rule-based and ML components? Any tips or lessons learned would be greatly appreciated!
Looking forward to hearing your insights!
Best, Steve