Example Concept: A common strategy for enhancing context handling is to use a session-based memory where the chatbot retains key information from previous interactions. This can be done by storing user inputs, intents, and relevant entities in a session object that persists throughout the conversation. Additionally, leveraging transformer-based models like GPT, which are adept at understanding context, can significantly improve the chatbot's ability to maintain coherent and relevant dialogues over multiple turns.