![]() Select the Undo button to undo the prior generation call.Selecting the Generate button will send the entered text to the completions API and stream the results back to the text box.You can read more about each parameter in the REST API. You can experiment with the configuration settings such as temperature and pre-response text to improve the performance of your task. For more information about model deployment, see the resource deployment guide. ![]() If your resource doesn't have a deployment, select Create a deployment and follow the instructions provided by the wizard. You can select a deployment and choose from a few pre-loaded examples to get started. From this page, you can quickly iterate and experiment with the capabilities. It's simply a text box where you can submit a prompt to generate a completion. Start exploring Azure OpenAI capabilities with a no-code approach through the GPT-3 Playground. Go to the Playground for experimentation and fine-tuning workflow. During or after the sign-in workflow, select the appropriate directory, Azure subscription, and Azure OpenAI resource.įrom the Azure OpenAI Studio landing page navigate further to explore examples for prompt completion, manage your deployments and models, and find learning resources such as documentation and community forums. Navigate to Azure OpenAI Studio at and sign-in with credentials that have access to your OpenAI resource. I ran into an issue with the prerequisites.
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