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@@ -5,20 +5,14 @@ description: Walkthrough on how to get started with Azure OpenAI and make your f
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manager: nitinme
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ms.service: azure-ai-openai
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ms.topic: include
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ms.date: 11/15/2023
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ms.date: 09/19/2023
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---
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## Prerequisites
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- An Azure subscription - <ahref="https://azure.microsoft.com/free/cognitive-services"target="_blank">Create one for free</a>.
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- An Azure OpenAI resource with a model deployed. For more information about model deployment, see the [resource deployment guide](../how-to/create-resource.md).
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> [!div class="nextstepaction"]
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> [I ran into an issue with the prerequisites.](https://microsoft.qualtrics.com/jfe/form/SV_0Cl5zkG3CnDjq6O?PLanguage=STUDIO&Pillar=AOAI&Product=gpt&Page=quickstart&Section=Prerequisites)
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> [!TIP]
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> Try out the new unified [Azure AI Studio (preview)](../../../ai-studio/what-is-ai-studio.md) which brings together capabilities from across multiple Azure AI services.
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## Go to the Azure OpenAI Studio
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Navigate to Azure OpenAI Studio at <ahref="https://oai.azure.com/"target="_blank">https://oai.azure.com/</a> and sign-in with credentials that have access to your Azure OpenAI resource. During or after the sign-in workflow, select the appropriate directory, Azure subscription, and Azure OpenAI resource.
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:::image type="content" source="../media/quickstarts/studio-start.png" alt-text="Screenshot of the Azure OpenAI Studio landing page." lightbox="../media/quickstarts/studio-start.png":::
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Go to the [Playground](#playground) for experimentation and fine-tuning workflow.
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## Playground
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Start exploring Azure OpenAI capabilities with a no-code approach through the GPT-3 Playground. It's simply a text box where you can submit a prompt to generate a completion. From this page, you can quickly iterate and experiment with the capabilities.
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Azure OpenAI also performs content moderation on the prompt inputs and generated outputs. The prompts or responses may be filtered if harmful content is detected. For more information, see the [content filter](../concepts/content-filter.md) article.
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In the GPT-3 playground you can also view Python and curl code samples pre-filled according to your selected settings. Just select **View code** next to the examples dropdown. You can write an application to complete the same task with the OpenAI Python SDK, curl, or other REST API client.
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In the Completions playground you can also view Python and curl code samples pre-filled according to your selected settings. Just select **View code** next to the examples dropdown. You can write an application to complete the same task with the OpenAI Python SDK, curl, or other REST API client.
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### Try text summarization
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To use the Azure OpenAI for text summarization in the GPT-3 Playground, follow these steps:
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To use the Azure OpenAI for text summarization in the Completions playground, follow these steps:
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1. Sign in to [Azure OpenAI Studio](https://oai.azure.com).
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1. Select the subscription and OpenAI resource to work with.
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1. Select **GPT-3 Playground**at the top of the landing page.
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1. Select **Completions playground**on the landing page.
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1. Select your deployment from the **Deployments** dropdown. If your resource doesn't have a deployment, select **Create a deployment** and then revisit this step.
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1.Select **Summarize Text** from the **Examples** dropdown.
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1.Enter a prompt for the model.
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:::image type="content" source="../media/quickstarts/summarize-text.png" alt-text="Screenshot of the playground page of the Azure OpenAI Studio with the Summarize Text dropdown selection visible" lightbox="../media/quickstarts/summarize-text.png":::
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:::image type="content" source="../media/quickstarts/summarize-text.png" alt-text="Screenshot of the playground page of the Azure OpenAI Studio with a text summarization example." lightbox="../media/quickstarts/summarize-text.png":::
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1. Select `Generate`. Azure OpenAI will attempt to capture the context of text and rephrase it succinctly. You should get a result that resembles the following text:
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```
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Tl;dr A neutron star is the collapsed core of a supergiant star. 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.
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```
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The accuracy of the response can vary per model. 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.
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> [!div class="nextstepaction"]
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> [I ran into an issue with the playground.](https://microsoft.qualtrics.com/jfe/form/SV_0Cl5zkG3CnDjq6O?PLanguage=STUDIO&Pillar=AOAI&Product=gpt&Page=quickstart&Section=Set-up)
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The accuracy of the response can vary per model. The `gpt-35-turbo-instruct` based model in this example is well-suited to this type of summarization, though in general we recommend using the alternate chat completions API unless you have a particular use case that is particularly suited to the completions API.
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