How to Create an Azure OpenAI Resource and Deploy Your First Model
This article explains how to create an Azure OpenAI resource, deploy a model, and get the API key required to use the service in your application. It covers the prerequisites, step-by-step instructions, and recommended models.
Why it matters
Azure OpenAI makes it easy for developers to leverage advanced AI capabilities in their enterprise applications.
Key Points
- 1Create an Azure OpenAI resource in the Azure Portal
- 2Deploy a model such as gpt-4o-mini or gpt-35-turbo
- 3Obtain the API key and endpoint to use the Azure OpenAI service in your application
Details
The article walks through the process of creating an Azure OpenAI resource, which allows developers to use powerful AI models like GPT-4, GPT-4o, and GPT-3.5 directly from the Azure cloud. It covers the prerequisites, including having an Azure account and access to the Azure Portal. The steps include creating the resource, selecting a pricing tier, and deploying a model. The recommended models are gpt-4o-mini for fast and cost-efficient performance, and gpt-35-turbo for popular chat applications. Finally, the article explains how to obtain the API key and endpoint required to integrate the Azure OpenAI service into your own applications.
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