Let’s take a look at how ML.NET 2.0’s new Text Transformer features can be used to perform multi-class classification and map utterances to intents.
A guided tutorial to create and deploy a starter bot. We’ll walk through creating and configuring the Azure resources, creating the project in Visual Studio, testing the bot, deploying it to Azure, and hosting the bot on a web page.
Please don’t call the police. I’m not really turning my dog into a cyborg. I’m just playing around with AI capabilities in a C# app.
Quickenshtein reduces the barriers to entry in getting started with Levenshtein distance by providing an intuitive, efficient, and fast open source .NET library.
Text to speech lets us build immersive applications that speak to the user using natural-sounding voices in a wide variety of languages and regions. Let’s see how it works with some simple C# code.