What are some examples of context management in AI chatbots?

What are some examples of context management in AI chatbots?

Context management in AI chatbots refers to the ability to remember and utilize information from previous interactions. For example, if a user asks about their order status, the chatbot can recall their previous order details to provide a personalized response.

Can you give me a specific example?

Sure! Imagine a user named Sarah who frequently orders coffee. If she asks, 'What did I order last time?', the chatbot can respond with, 'Last time, you ordered a caramel latte and a blueberry muffin.' This shows effective context management.

How does the chatbot remember this information?

The chatbot uses a combination of session memory and persistent storage. Session memory allows it to remember details during a conversation, while persistent storage saves information for future interactions.

What happens if the user changes their preferences?

If a user changes their preferences, the chatbot can update its records. For instance, if Sarah decides she no longer wants blueberry muffins, she can say, 'Forget my last order,' and the chatbot will adjust accordingly.