Xiaoquan Kong, Guan Wang

Conversational AI with Rasa (eBook, ePUB)

Build, test, and deploy AI-powered, enterprise-grade virtual assistants and chatbots

• Format: ePub

Produktbeschreibung

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.
Conversational 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. You'll then learn how to build, configure, train, and serve different types of chatbots from scratch by using the Rasa ecosystem. 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. 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. Finally, you'll get to grips with deploying the Rasa system to a production environment with high performance and high scalability and cover best practices for building an efficient and robust chat system.
By the end of this book, you'll be able to build and deploy your own chatbots using Rasa, addressing the common pain points encountered in the chatbot life cycle.

Produktdetails

• Verlag: Packt Publishing
• Seitenzahl: 264
• Erscheinungstermin: 8. Oktober 2021
• Englisch
• ISBN-13: 9781801073882
• Artikelnr.: 70295653

Autorenporträt

Xiaoquan Kong is a machine learning expert specializing in NLP applications. He has extensive experience of leading teams to build NLP platforms for several Fortune Global 500 companies. He is a Google Developer Expert in machine learning and has been actively involved in contributing to TensorFlow for many years. He also has actively contributed to the development of the Rasa framework since the early stages and became a Rasa Superhero in 2018. He manages the Rasa Chinese community and has also participated in the Chinese localization of TensorFlow documents as a technical reviewer.