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articles/ai-services/content-safety/quickstart-groundedness.md

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* (Optional) If you want to use the _reasoning_ feature, create an Azure OpenAI Service resource with a GPT model deployed.
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* [cURL](https://curl.haxx.se/) or [Python](https://www.python.org/downloads/) installed.
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## Authentication
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For enhanced security, you need to use Managed Identity (MI) to manage access to your resources, for more details, please refer to [Security](./overview.md#security).
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## Check groundedness without reasoning
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### Connect your own GPT deployment
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> [!TIP]
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> We only support **Azure OpenAI GPT4o (0513, 0806 version) ** resources and do not support other GPT types. You have the flexibility to deploy your Azure OpenAI GPT4o (0513, 0806 version) resources in any region. However, to minimize potential latency and avoid any geographical boundary data privacy and risk concerns, we recommend situating them in the same region as your content safety resources. For comprehensive details on data privacy, refer to the [Data, privacy and security guidelines for Azure OpenAI Service](/legal/cognitive-services/openai/data-privacy) and [Data, privacy, and security for Azure AI Content Safety](/legal/cognitive-services/content-safety/data-privacy?context=%2Fazure%2Fai-services%2Fcontent-safety%2Fcontext%2Fcontext).
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> We only support Azure OpenAI GPT4o (0513, 0806 version) resources and do not support other GPT types. You have the flexibility to deploy your Azure OpenAI GPT4o (0513, 0806 version) resources in any region. However, to minimize potential latency and avoid any geographical boundary data privacy and risk concerns, we recommend situating them in the same region as your content safety resources. For comprehensive details on data privacy, refer to the [Data, privacy and security guidelines for Azure OpenAI Service](/legal/cognitive-services/openai/data-privacy) and [Data, privacy, and security for Azure AI Content Safety](/legal/cognitive-services/content-safety/data-privacy?context=%2Fazure%2Fai-services%2Fcontent-safety%2Fcontext%2Fcontext).
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In order to use your Azure OpenAI GPT4o (0513, 0806 version) resource to enable the reasoning feature, use Managed Identity to allow your Content Safety resource to access the Azure OpenAI resource:
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articles/ai-services/openai/audio-completions-quickstart.md

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manager: nitinme
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ms.service: azure-ai-openai
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ms.topic: how-to
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ms.date: 1/21/2025
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ms.date: 2/6/2025
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author: eric-urban
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ms.author: eur
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## Related content
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* Learn more about Azure OpenAI [deployment types](./how-to/deployment-types.md)
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* Learn more about Azure OpenAI [quotas and limits](quotas-limits.md)
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* Learn more about Azure OpenAI [deployment types](./how-to/deployment-types.md).
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* Learn more about Azure OpenAI [quotas and limits](quotas-limits.md).

articles/ai-services/openai/whats-new.md

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- references_regions
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ms.topic: whats-new
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ms.date: 1/30/2025
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ms.date: 2/6/2025
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recommendations: false
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---
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### gpt-4o mini audio released
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The `gpt-4o-audio-preview` (2024-12-17) model is the latest audio completions model. Use the `gpt-4o-audio-preview` model for audio generation. For more information, see the [audio generation quickstart](./audio-completions-quickstart.md).
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The `gpt-4o-mini-audio-preview` (2024-12-17) model is the latest audio completions model. For more information, see the [audio generation quickstart](./audio-completions-quickstart.md).
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The `gpt-4o-mini-realtime-preview` (2024-12-17) model is the latest real-time audio model. The real-time models use the same underlying GPT-4o audio model as the completions API, but is optimized for low-latency, real-time audio interactions. For more information, see the [real-time audio quickstart](./realtime-audio-quickstart.md).
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### GPT-4o audio completions
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The `gpt-4o-audio-preview` model is now available for global deployments in [East US 2 and Sweden Central regions](./concepts/models.md#global-standard-model-availability). Use the `gpt-4o-audio-preview` model for audio generation.
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## January 2025
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### o3-mini released

articles/search/search-get-started-portal-import-vectors.md

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ms.date: 02/06/2025
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# Quickstart: Vectorize text and images by using the Azure portal
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1. Select **Upload files**, and then upload the [health-plan PDF documents](https://github.com/Azure-Samples/azure-search-sample-data/tree/main/health-plan) used for this quickstart.
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1. Before you leave the lakehouse, copy the URL, or get the workspace and lakehouse IDs, so that you can specify the lakehouse in the wizard. The URL is in this format: `https://msit.powerbi.com/groups/00000000-0000-0000-0000-000000000000/lakehouses/11111111-1111-1111-1111-111111111111?experience=data-engineering`.
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1. Before you leave the lakehouse, copy the URL, or get the workspace and lakehouse IDs, so that you can specify the lakehouse in the wizard. The URL is in this format: `https://msit.powerbi.com/groups/00000000-0000-0000-0000-000000000000/lakehouses/11111111-1111-1111-1111-111111111111?experience=power-bi`.
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zone-pivots/zone-pivot-groups.yml

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prompt: Choose your preferred usage method
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pivots:
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title: Studio
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title: Portal
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- id: programming-language-csharp
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- id: audio-completions-quickstart
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# Owner: eur
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title: Programming languages
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prompt: Choose a tool or API
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pivots:
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- id: ai-foundry-portal
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title: Portal
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- id: programming-language-javascript
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title: JavaScript
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- id: programming-language-python
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title: Python
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- id: programming-language-typescript
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title: TypeScript
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- id: rest-api
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title: REST

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