Introduction
In the second part of the Practical Guide for Beginners: Azure OpenAI with JavaScript and TypeScript, we will delve into deploying a model in Azure OpenAI Studio. In the previous article, you learned how to create an Azure OpenAI Service resource. Now, let's understand the process, which includes selecting the desired model, configuring the model version, and assigning a name to the deployment.
Deploying a Model
Before you start using Azure OpenAI Service, you need to deploy a model. To do this, follow the steps below:
- ✅ Step 01: Within the newly created resource, go to Model deployments and click the Manage Deployments button.
- ✅ Step 02: After clicking this button, you will be redirected to the Azure OpenAI Studio page. Then click the Create new deployment button.
Note that in the image in the upper right corner, we are creating the deployment of the model from the newly created resource in the Azure Portal.
✅ Step 03: A window called Deploy model will appear. In this window, you will fill in the following fields:
Select a model: Choose the model you want to deploy. In this case, select the
gpt-35-turbomodel.Model version: Choose the option
0301 (default).Deployment name: Enter a name for the deployment (make it unique).
Finally, click the Create button.
- ✅ Step 04: Wait a few minutes for the deployment to be created.
Now, we are ready to consume Azure OpenAI Service directly in the code. Let's now create the Node.js application to consume Azure OpenAI Service.
Next steps
In this article, you learned how to deploy a model on Azure OpenAI Service. The steps included selecting the desired model, configuring the model version, and assigning a name to the deployment. After creating the deployment, you are ready to consume Azure OpenAI Service directly in your code. In the next article, you will learn how to create a Node.js application that consumes Azure OpenAI Service. Get ready to bring your ideas to life with Azure OpenAI and JavaScript/TypeScript.
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