Which type of chatbot learns and improves from interactions over time?

The type of chatbot that learns and improves from interactions over time is the AI chatbot. This is because AI chatbots leverage machine learning algorithms and natural language processing to analyze user interactions and adapt their responses accordingly. As they engage in more conversations, they can identify patterns, improve their understanding of language, and become more effective in responding to user queries. This capability allows them to enhance user experience by providing more relevant and accurate responses with time.

In contrast, rule-based chatbots operate based on predefined scripts and rules, which do not change or adapt based on interactions. They lack the ability to learn from past conversations or user behavior. Similarly, template chatbots function by using fixed templates for responses, unable to modify or improve how they handle interactions. Data-driven chatbots may utilize data to fine-tune their operations, but they do not necessarily possess the learning capabilities characteristic of AI-focused systems. Therefore, the AI chatbot stands out as the type that genuinely learns and evolves over time through user interactions.