Getting Started with Azure OpenAI and GPT Models in 6-ish Minutes
Science & Technology
Introduction
In this tutorial, we will guide you through the process of getting started with Azure OpenAI, setting up the resources, and exploring some of the key features swiftly. Let's jump right in.
Step 1: Accessing Azure OpenAI
First, navigate to portal.azure.com. From here, you can either use the search function or locate Azure OpenAI in your frequently used services. Click on Azure OpenAI to proceed.
Step 2: Creating a Resource
Next, create a new resource. Select your subscription and resource group, and choose the East US region (or another available region). Name your resource, for example, dwallenTestVideo, and select the current pricing tier available. After filling out these details, click on Next. Choose All Networks and leave the default settings on the tags page. Finally, review and submit to create the resource.
Step 3: Accessing Your Endpoint and Keys
Once the deployment is complete, navigate to the resource. Here, you'll find essential information such as the Endpoint. Go to Keys and Endpoint to retrieve your endpoint and API key—important details for future use.
Step 4: Managing Model Deployments
To start using models like GPT-3 or GPT-4, go to Model Deployments. This will redirect you to Azure OpenAI Studio. Select your subscription and the newly created resource, dwallenTestVideo. Confirm your selection and proceed.
Step 5: Deploying a Model
Within Azure OpenAI Studio, you won't see any existing deployments. Click on Create New Deployment, select the model you want (e.g., GPT-3.5 Turbo), and choose the model version (e.g., 0613 if you need function calling). Give your deployment a name, such as gpt35Turbo0613, and create it.
Step 6: Using the Model
Once the model is deployed, you can begin experimenting with it. Navigate back to the Studio's main interface. Choose Completions from the playground section. You can select from example prompts, such as generating an email for a product launch. Sometimes, newly created models may take a few minutes to become fully operational.
If you encounter errors due to pending model deployment, wait a few minutes and try again. If issues persist, try creating a deployment with the default model to ensure compatibility.
Step 7: Exploring More Features
Azure OpenAI Studio offers additional features:
- Chat Playground: Interact with chat-based models.
- Bring Your Own Data: Upload documents (e.g., Word, PowerPoint) to use GPT-like functionalities.
- DALL-E: Generate images from text prompts.
A deeper dive into using these models in applications will be covered in future videos, so stay tuned.
Conclusion: You've now set up and tested Azure OpenAI models. Although this article offers a brief overview, there’s much more to explore.
Keywords
- Azure OpenAI
- Resource setup
- Endpoint
- API keys
- Model deployment
- GPT-3.5 Turbo
- Completions Playground
- Azure OpenAI Studio
- Function calling
- DALL-E
FAQ
Q1: Where can I find Azure OpenAI on the Azure portal? A1: You can use the search bar on portal.azure.com or find it in your frequently used services.
Q2: What should I do if my model deployment isn't working immediately? A2: If the model deployment isn't active, wait a few minutes and try again. If the issue persists, consider switching to a different model version.
Q3: What models are available for deployment in Azure OpenAI? A3: You can deploy models like GPT-3.5 Turbo and, if you've applied for it, GPT-4.
Q4: How do I get my API keys and endpoint? A4: Navigate to the resource, and under Keys and Endpoint, you can find the necessary details.
Q5: What other functionalities are available in Azure OpenAI Studio? A5: Besides model deployments, you can explore the Chat Playground, “Bring Your Own Data” feature, and image generation with DALL-E.