Furthermore, you'll understand how to customize the Rasa framework, use conversation-driven development patterns and tools to develop chatbots, explore what your bot can do, and easily fix any mistakes it makes by using interactive learning.
As you advance, you'll use form-based dialogue management, work with the response selector for chitchat and FAQ-like dialogs, make use of knowledge base actions to answer questions for dynamic queries, and much more. You'll then learn how to build, configure, train, and serve different types of chatbots from scratch by using the Rasa ecosystem. The Rasa framework enables developers to create industrial-strength chatbots using state-of-the-art natural language processing (NLP) and machine learning technologies quickly, all in open source.Ĭonversational AI with Rasa starts by showing you how the two main components at the heart of Rasa work – Rasa NLU (natural language understanding) and Rasa Core. Explore best practices for working with Rasa and its debugging and optimizing aspects.Learn how to quickly build different types of chatbots such as task-oriented, FAQ-like, and knowledge graph-based chatbots.
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