We address the challenge of creating a custom search experience for a specific domain area. We also provide a guide for creating your own custom search experience by leveraging Azure Search and Cognitive Services and sharing custom code for iterative testing, measurement and indexer redeployment.
This post outlines the steps of creating a bot that interacts with a user to collect missing LUIS entity data before processing their request.
A wrapper for the Microsoft LUIS Cognitive Service that provides universal language support (after training) using the Cognitive Service Translation API.
Based on a solution used in Cities Unlocked, developers can create great voice recognition and command execution on iOS using Cognitive Services and LUIS.
Developing an extension for Microsoft Bot Framework that supports graph-based dialogs and dynamic loading of those dialogs from an external data source.
Using Microsoft Cognitive Services and LUIS to develop applications that leverage machine learning and speech recognition.
Using Microsoft Bot Framework's QnA Maker to create a conversational interface for publishing FAQ-style content.
An an end to end smart conversational client, that enables low latency voice and text interaction, using Microsoft's intent recognition technologies and a local smart cache.
In this real-life-code story, we show how we used Cognitive Services and LUIS to build a vehicle center console that can listen and respond to user's commands, specifically focusing on determining intent.
In this post, you'll see how we helped a startup to extract structured data from images - using Project Oxford's image recognition.
