Azure OpenAI is basically a collaboration between Microsoft Azure and OpenAI, a leading artificial intelligence research organization. Azure OpenAI combines the power of Azure’s cloud computing platform with OpenAI’s state-of-the-art language models and AI technologies.
OpenAI is known for developing advanced language models like DALL.E, GPT-3, GPT 3.5, which can generate human-like text, generate images from text and perform a wide range of natural language processing tasks. These models have demonstrated remarkable capabilities in various applications, including content generation, language translation, question-answering systems, chatbots, and more.
Azure, as well all know, is Microsoft’s cloud computing platform that provides a wide range of services and tools for building, deploying, and managing applications and services. It offers scalable computing power, storage, and networking resources, along with AI and machine learning services, to enable developers and organizations to leverage the cloud’s capabilities.
How do I create an OpenAI account?
To create an Azure OpenAI account, you can go through these steps:
- Go to the Azure portal and sign in. If you haven’t already, sign up for an Azure account at https://portal.azure.com/
- Click on the “Create a resource” button.
- Search for “Azure OpenAI” or “OpenAI” and select the appropriate service.
- Click on the “Create” button.
- Provide a name for your OpenAI account, select the subscription and resource group, and choose a pricing tier.
- Configure any additional settings as required.
- Click on the “Review + Create” button, and then click “Create” to create the OpenAI account.
Once you have your OpenAI account setup, you can either start utilizing different services like Azure Cognitive Search services or you can play around on Azure OpenAI studio playground to understand how different models work, what are prompts, what all different properties we can leverage to get creative or deterministic responses from models.
Note : Currently, access to this service is granted only by application. You can apply for access to Azure OpenAI by completing the form at https://aka.ms/oai/access. Reference: Microsoft Prerequisites
- Once you have an Azure account, navigate to the Azure portal and sign in with your credentials.
- Access Azure OpenAI Studio via the Azure portal.
- Search for “Azure OpenAI” or “OpenAI” and select the service that you created earlier.
- You should see an option to goto Azure OpenAI Studio at https://oai.azure.com/, navigate to that.
- You should now see, Azure OpenAI Studio landing page. You can explore it, playaround as per your need.
Once you have your OpenAI account set up, you can deploy your OpenAI model. The exact steps for deployment may vary depending on your specific model and requirements. However, in general, the process involves:
- Sign in to Azure OpenAI Studio.
- Go to Deployments under Management on the left panel.
- Select Create new deployment from the Management > Deployments page.
- Select a model from the drop-down.
- Enter a model name to help you identify the model.
- Select Create to deploy the model.
Once done, this new model will show up in deployments table.
You can also create a custom model by navigating to Management > Models > Create a custom model. This model will have a base model which can be any of the existing models available.
After you have created the model, you can use the same in the Azure OpenAI Studio Playground. You can select your model from the Deployments Dropdown. Now, You can either explore the examples that are already provided to us, or you can explore your responses, by experimenting with different prompts and parameters.
Overall, I would say, Azure OpenAI is a powerful tool that provides a seamless environment for leveraging OpenAI’s capabilities while benefiting from Azure’s scalability, security, and management features. Through Azure OpenAI, developers can harness the potential of AI-powered natural language processing in their applications, by developing smart chatbots, language translation services, content generation, sentiment analysis, etc.
References : https://learn.microsoft.com/en-us/azure/cognitive-services/openai/
