How to create and train a LUIS (Language Understanding) model Building intelligent conversational applications requires natural language understanding (NLU). Microsoft Azure provides Language Understanding (LUIS), a cloud-based API service that allows developers to build applications capable of interpreting human language. In this article, we’ll explore how to create and train a LUIS model , and the key steps involved in designing, training, and deploying it for real-world AI solutions. Suppose you are learning through Microsoft Azure AI Online Training. In that case , you will quickly realize that LUIS plays a critical role in conversational AI, enabling apps, chatbots, and services to extract meaning from user input. Let’s break down the process step by step. How to create and train a LUIS (Language Understanding) model 1. Understanding the Basics of LUIS Before creating a model, it’s important to understand the key building blocks of LUIS: · ...
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