Example Concept: To improve intent recognition, you can use transfer learning with pre-trained language models like BERT or GPT. By fine-tuning these models on your specific dataset, you can enhance their ability to understand context and nuances in user queries. Additionally, incorporating techniques such as data augmentation and active learning can help expand the training dataset and improve model robustness.