From the course: AI Solutions and Techniques for Help Desk Operations

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Differences between rule-based and AI-driven chatbots

Differences between rule-based and AI-driven chatbots

From the course: AI Solutions and Techniques for Help Desk Operations

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Differences between rule-based and AI-driven chatbots

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- [Presenter] In the last lesson, you saw that generative AI chatbots can do more than traditional rule-based chatbots. However, there are more differences between these two chatbot types than how well they can hold a conversation. It's time to take a look at the differences in how chatbots operate. At the operational level, chatbots are broadly categorized as either rule-based or AI-driven. The primary difference is in their operational mechanisms and how they handle user interactions. Rule-based chatbots operate using predefined rules. This means they use a set of rules or follow the path that is defined by established decision trees. They use keyword or pattern matching, meaning they rely on keyword detection or pattern-based responses, such as regular expressions or technologies like if-then-else logic. They use flow-based conversations, which means users must follow a structured conversation path. An example could be multiple choice options or menu, and the bot provides responses…

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