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Start exploring GPT-4 Turbo with Vision capabilities with a no-code approach through Azure AI Foundry.
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Start using images in your AI chats with a no-code approach through Azure AI Foundry.
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## Prerequisites
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- An Azure subscription. <ahref="https://azure.microsoft.com/free/ai-services"target="_blank">Create one for free</a>.
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- An Azure OpenAI Service resource with a GPT-4 Turbo with Vision model deployed. See [GPT-4 and GPT-4 Turbo Preview model availability](../concepts/models.md#gpt-4-and-gpt-4-turbo-model-availability) for available regions. For more information about resource creation, see the [resource deployment guide](/azure/ai-services/openai/how-to/create-resource).
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> [!NOTE]
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> It is currently not supported to turn off content filtering for the GPT-4 Turbo with Vision model.
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- An Azure OpenAI Service resource. See [GPT-4 and GPT-4 Turbo Preview model availability](../concepts/models.md#gpt-4-and-gpt-4-turbo-model-availability) for available regions. For more information about resource creation, see the [resource deployment guide](/azure/ai-services/openai/how-to/create-resource).
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## Go to Azure AI Foundry
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Browse to [Azure AI Foundry](https://ai.azure.com/) and sign in with the credentials associated with 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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Under **Management**select **Deployments** and **Create** a GPT-4 Turbo with Vision deployment by selecting model name: **"gpt-4"**and model version **"vision-preview"**. For more information about model deployment, see the [resource deployment guide](/azure/ai-services/openai/how-to/create-resource).
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Create a project or select an existing one. Navigate to the **Models + endpoints**option on the left, and select **Deploy model**. Choose an image-capable deployment by selecting model name: **gpt-4o**or **gpt-4o-mini**. For more information about model deployment, see the [resource deployment guide](/azure/ai-services/openai/how-to/create-resource).
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Under the **Playground** section select **Chat**.
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Select the new deployment and select **Open in playground**.
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## Playground
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#### [Image prompts](#tab/image)
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In this chat session, you're instructing the assistant to aid in understanding images that you input.
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1. To start, select your GPT-4 Turbo with Vision deployment from the dropdown.
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2. In the **Assistant setup** pane, provide a System Message to guide the assistant. The default System Message is: "You are an AI assistant that helps people find information." You can tailor the System Message to the image or scenario that you're uploading.
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1. To start, make sure your image-capable deployment is selected in the**Deployment** dropdown.
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2. In the **Setup** pane, provide a System Message to guide the assistant. The default System Message is: "You are an AI assistant that helps people find information." You can tailor the System Message to the image or scenario that you're uploading.
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> [!NOTE]
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> It is recommended to update the System Message to be specific to the task in order to avoid unhelpful responses from the model.
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> We recommend you update the System Message to be specific to the task in order to avoid unhelpful responses from the model.
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1. Save your changes, and when prompted to confirm updating the system message, select **Continue**.
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1. In the **Chat session** pane, enter a text prompt like "Describe this image," and upload an image with the attachment button. You can use a different text prompt for your use case. Then select **Send**.
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1. Observe the output provided. Consider asking follow-up questions related to the analysis of your image to learn more.
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:::image type="content" source="../media/quickstarts/studio-vision.png" lightbox="../media/quickstarts/studio-vision.png" alt-text="Screenshot of AI Foundry chat playground.":::
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