Example Concept: To improve entity recognition in Rasa, ensure your training data includes diverse examples of how entities might appear in user inputs. Use Rasa's NLU pipeline to incorporate components like the "Duckling" entity extractor for dates and numbers or create custom components to handle specific entity types. Regularly evaluate and update your training data based on real user interactions to refine entity extraction accuracy.