Example Concept: Multi-turn conversation strategies involve maintaining context through session variables or state management systems. This allows the chatbot to remember user inputs and intents across different turns, enabling it to provide relevant responses and ask follow-up questions. Effective design includes using slot-filling techniques to gather necessary information and leveraging context-aware NLP models to understand user intent in ongoing dialogues.