Example Concept: To improve intent detection, ensure that each intent has a diverse set of training phrases representing various ways users might express the same intent. Regularly update these phrases based on real user interactions and use entity extraction to help the model understand context better. Additionally, fine-tuning the NLP model's hyperparameters and using pre-trained language models can significantly enhance accuracy.