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Books > Computing & IT > Applications of computing > Artificial intelligence > Natural language & machine translation
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Conversational AI with Rasa - Build, test, and deploy AI-powered, enterprise-grade virtual assistants and chatbots (Paperback, Ed)
Loot Price: R1,092
Discovery Miles 10 920
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Conversational AI with Rasa - Build, test, and deploy AI-powered, enterprise-grade virtual assistants and chatbots (Paperback, Ed)
Expected to ship within 10 - 15 working days
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Create next-level AI assistants and transform how customers
communicate with businesses with the power of natural language
understanding and dialogue management using Rasa Key Features
Understand the architecture and put the underlying principles of
the Rasa framework to practice Learn how to quickly build different
types of chatbots such as task-oriented, FAQ-like, and knowledge
graph-based chatbots Explore best practices for working with Rasa
and its debugging and optimizing aspects Book DescriptionThe 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. What you will learn Use the response selector
to handle chitchat and FAQs Create custom actions using the Rasa
SDK Train Rasa to handle complex named entity recognition Become
skilled at building custom components in the Rasa framework
Validate and test dialogs end to end in Rasa Develop and refine a
chatbot system by using conversation-driven deployment processing
Use TensorBoard for tuning to find the best configuration options
Debug and optimize dialogue systems based on Rasa Who this book is
forThis book is for NLP professionals as well as machine learning
and deep learning practitioners who have knowledge of natural
language processing and want to build chatbots with Rasa. Anyone
with beginner-level knowledge of NLP and deep learning will be able
to get the most out of the book.
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