Alternatively, you can find the value in the Azure OpenAI Studio > Playground > Code View. This value can be found in the Keys & Endpoint section when examining your resource from the Azure portal. To successfully make a call against Azure OpenAI, you'll need an endpoint and a key. NET client library with: dotnet add package Azure.AI.OpenAI -prerelease The build output should contain no warnings or errors. You can build the application with: dotnet build dotnet new console -n azure-openai-quickstartĬhange your directory to the newly created app folder. This command creates a simple "Hello World" project with a single C# source file: Program.cs. In a console window (such as cmd, PowerShell, or Bash), use the dotnet new command to create a new console app with the name azure-openai-quickstart. I ran into an issue with the prerequisites. The Davinci based model in this example is well-suited to this type of summarization, whereas a Codex based model wouldn't perform as well at this particular task. The accuracy of the response can vary per model. These incredibly dense objects are incredibly fascinating due to their strange properties and their potential for phenomena such as extreme gravitational forces and a strong magnetic field. You should get a result that resembles the following text: Tl dr A neutron star is the collapsed core of a supergiant star. Azure OpenAI will attempt to capture the context of text and rephrase it succinctly. Select Summarize Text from the Examples dropdown. If your resource doesn't have a deployment, select Create a deployment and then revisit this step. Select your deployment from the Deployments dropdown. Select GPT-3 Playground at the top of the landing page. Select the subscription and OpenAI resource to work with. To use the Azure OpenAI for text summarization in the GPT-3 Playground, follow these steps: You can write an application to complete the same task with the OpenAI Python SDK, curl, or other REST API client. Just select View code next to the examples dropdown. In the GPT-3 playground you can also view Python and curl code samples pre-filled according to your selected settings. For more information, see the content filter article. The prompts or responses may be filtered if harmful content is detected.
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