Creating an Adaptive AI Chatbot for Customer Support

How can developers create an adaptive AI chatbot that improves customer support by learning from interactions? Discuss the process of integrating natural language processing (NLP) libraries, such as spaCy or GPT, and using machine learning models to enhance the bot's ability to understand context. What are the best practices for training the AI with relevant data to ensure it can handle various customer queries? How do you manage the trade-off between offering a seamless customer experience while ensuring the bot doesn’t become too complex or prone to errors?