From the course: Complete Guide to Azure AI for ML Engineers by Microsoft Press

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Learn natural language solutions with OpenAI

Learn natural language solutions with OpenAI - Azure Tutorial

From the course: Complete Guide to Azure AI for ML Engineers by Microsoft Press

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Learn natural language solutions with OpenAI

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- [Instructor] Now we're going to look at some different applications you can make with OpenAI in Azure. So before we jump into the first project, let's talk about a few things you need to know when working with Azure AI OpenAI. The first is that Azure has several required resource values for you to make requests, and those include your Azure OpenAI resource key and endpoint, and the name you gave for your deployed models. So you'll need those three values every time you want to make a request to Azure OpenAI. And then you do have three particular endpoints that are available to you. The first endpoint is called the completion one, and this is when a model takes an input prompt and generates some predicted completions. So we'll be able to see this in the studio playground, and we'll take a look at that a little bit later. Then the other endpoint you have available is chat completion. And this model takes input in the form of a chat conversation and you do have to specify which roles…

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