Rasa NLU Integration Skill Capabilities - Configure Rasa NLU pipelines - Design training data in Rasa format - Set up intent classification components - Configure entity extraction (DIETClassifier) - Implement pipeline optimization - Set up model evaluation and testing Target Processes - intent-classification-system - chatbot-design-implementation Implementation Details Pipeline Components 1. Tokenizers : WhitespaceTokenizer, SpacyTokenizer 2. Featurizers : CountVectorsFeaturizer, SpacyFeaturizer 3. Classifiers : DIETClassifier, FallbackClassifier 4. Entity Extractors : DIETClassifier, SpacyE…