Adding Language Understanding to Chatbots With LUIS

Intermediate
2m
376
5/5

This lesson focuses on how to use the LUIS (Language Understanding Intelligent Service) portal to create new LUIS models, how to enrich them with intents, entities, and utterances, and how to train and apply apps. 

Not only will you get theoretical knowledge of LUIS and its components, but you'll also follow along with demonstrations from the LUIS portal to get a practical understanding of how to use the service.

Learning Objectives

  • Obtain a general understanding of what LUIS is and how to interact with it
  • Create LUIS resources
  • Learn about utterances, intents, and entities and how they are used in language understanding at a practical level
  • Learn how to test, train, and publish your LUIS models

Intended Audience

This lesson is made for developers or architects who would like to know more about how to use the Language Understanding Intelligent Service, LUIS, to improve their chatbot development and experience.

Prerequisites

To get the most out of this lesson, you should have some Azure experience, particularly surrounding subscription and resource groups as well as chatbots and language services. Some developer experience, including familiarity with terms such as REST API and SDKs, would also be beneficial.

About the Author
Students
718
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Emilio Melo has been involved in IT projects in over 15 countries, with roles ranging across support, consultancy, teaching, project and department management, and sales—mostly focused on Microsoft software. After 15 years of on-premises experience in infrastructure, data, and collaboration, he became fascinated by Cloud technologies and the incredible transformation potential it brings. His passion outside work is to travel and discover the wonderful things this world has to offer.

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