Example Concept: To improve intent detection accuracy, ensure that your training data includes a diverse set of examples for each intent. This helps the NLP model generalize better across different phrasings. Additionally, regularly review and update the training phrases based on real user interactions to cover edge cases and ambiguous inputs. Consider using advanced NLP features like entity recognition and context management to refine intent mapping further.