Chatbots learn from user interactions through machine learning techniques. These systems analyze user conversations to identify patterns, responses, and intents. By gathering data from interactions, they improve their natural language processing abilities, resulting in more accurate answers over time. Feedback mechanisms also allow users to rate responses, further refining the chatbot's capabilities. As data accumulates, increasingly sophisticated algorithms can be applied to enhance understanding and responsiveness, creating a more personalized experience.