How can AI chatbots handle multi-turn conversations?

Can you explain how AI chatbots manage multi-turn conversations?

Sure! AI chatbots use context management to remember previous interactions, allowing for coherent multi-turn dialogues.

What techniques do they use to maintain context?

They often use techniques like session tracking, context windows, and memory to keep track of the conversation history.

Are there any challenges in maintaining context?

Yes, challenges include handling ambiguous queries, managing long conversations, and ensuring relevant context is retained.

How do chatbots improve their responses over time?

Chatbots improve through machine learning, where they analyze past interactions to refine their understanding and responses.