Example Concept: To improve intent recognition, focus on expanding and diversifying your training phrases for each intent. This involves adding variations in phrasing, synonyms, and context to help the NLP model generalize better. Regularly review misclassified intents and update your training data accordingly. Additionally, leveraging pre-trained language models or fine-tuning them on your specific dataset can enhance accuracy.