Example Concept: Enhance intent recognition by using techniques such as data augmentation to increase the diversity of training phrases, employing pre-trained embeddings like BERT to capture semantic meaning, and integrating entity extraction to provide contextually relevant responses. These methods help the chatbot better understand variations in user queries and improve accuracy in intent classification.