Example Concept: To improve intent detection accuracy, ensure your training data is diverse and representative of real user queries. Include variations in phrasing, synonyms, and context to cover different ways users might express the same intent. Regularly update the training set with new examples based on user interactions and feedback. Additionally, leverage entity recognition to distinguish between similar intents by focusing on key terms or phrases that differentiate them.