Example Concept: To improve intent recognition accuracy, focus on expanding the variety of training phrases for each intent to cover different ways users might express the same request. Additionally, regularly review and update these phrases based on real user interactions to capture evolving language patterns. Consider using pre-trained language models or custom entities to better understand context and nuances in user inputs.