Azure Cognitive Services for Language offers a variety of custom features, including Conversational Language Understanding (CLU). This cloud-based API service uses machine learning to allow you to create a natural language understanding component for your end-to-end conversational application.
CLU is specifically designed to help you build customized natural language understanding models. These models can predict the overall intention of a user's input and extract important information from it. However, it does not take any actions based on that understanding. To create a CLU project, developers can label utterances, train the model, and evaluate its performance before making it available for use. The quality of the labeled data is crucial to the model's success.
To make the process of building and customizing your model more straightforward, Azure Cognitive Services for Language offers a custom web portal that can be accessed through the Language Studio.
This video provides guidance on how to integrate Conversational Language Understanding (CLU) into Bot Composer. The aim is to equip your bot with the ability to comprehend natural language input and provide appropriate responses.
15 сен 2024