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6 changes: 5 additions & 1 deletion .openpublishing.redirection.json
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{
"redirections": [

{
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"redirect_url": "/azure/ai-services/openai/concepts/use-your-data",
"redirect_document_id": true
}
]
}
187 changes: 0 additions & 187 deletions articles/ai-services/openai/concepts/use-your-image-data.md

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5 changes: 1 addition & 4 deletions articles/ai-services/openai/toc.yml
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items:
- name: Text data
href: ./concepts/use-your-data.md
- name: Image data (preview)
href: ./concepts/use-your-image-data.md
displayName: use your data, on your data
- name: Use Azure OpenAI On Your Data securely
href: ./how-to/use-your-data-securely.md
- name: Deploy and use web apps
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href: ./tutorials/embeddings.md
- name: Fine-tuning GPT-4o mini
href: ./tutorials/fine-tune.md
- name: Speech to speech chat
href: ../speech-service/openai-speech.md?context=%2fazure%2fcognitive-services%2fopenai%2fcontext%2fcontext
- name: Responsible AI
items:
- name: Overview
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2 changes: 0 additions & 2 deletions articles/ai-studio/ai-services/connect-ai-services.md
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# Connect AI services to your hub in Azure AI Studio

[!INCLUDE [Feature preview](~/reusable-content/ce-skilling/azure/includes/ai-studio/includes/feature-preview.md)]

You can try out AI services for free in Azure AI Studio as described in the [getting started with AI services](get-started.md) article. This article describes how to use AI services connections to do more via Azure AI Studio, SDKs, and APIs.

After you create a hub with AI services, you can use the AI services connection via the AI Studio UI, APIs, and SDKs. For example, you can try out AI services via **Home** > **AI Services** in the AI Studio UI as shown here.
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2 changes: 0 additions & 2 deletions articles/ai-studio/ai-services/get-started.md
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# Get started with AI services in Azure AI Studio

[!INCLUDE [Feature preview](~/reusable-content/ce-skilling/azure/includes/ai-studio/includes/feature-preview.md)]

This article describes how to get started with AI services in [Azure AI Studio](https://ai.azure.com). You can connect to AI services in Azure AI Studio to use AI capabilities such as Azure OpenAI, Speech, Language, Translator, Vision, Document Intelligence, and Content Safety.

Go to the **Home** page and then select **AI Services** from the left pane to explore these services.
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8 changes: 3 additions & 5 deletions articles/ai-studio/concepts/connections.md
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- build-2024
ms.topic: conceptual
ms.date: 5/21/2024
ms.reviewer: eur
ms.author: eur
author: eric-urban
ms.reviewer: sgilley
ms.author: sgilley
author: sdgilley
---

# Connections in Azure AI Studio

[!INCLUDE [Feature preview](~/reusable-content/ce-skilling/azure/includes/ai-studio/includes/feature-preview.md)]

Connections in Azure AI Studio are a way to authenticate and consume both Microsoft and non-Microsoft resources within your AI Studio projects. For example, connections can be used for prompt flow, training data, and deployments. [Connections can be created](../how-to/connections-add.md) exclusively for one project or shared with all projects in the same hub.

## Connections to Azure AI services
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2 changes: 0 additions & 2 deletions articles/ai-studio/concepts/content-filtering.md
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# Content filtering in Azure AI Studio

[!INCLUDE [Feature preview](~/reusable-content/ce-skilling/azure/includes/ai-studio/includes/feature-preview.md)]

Azure AI Studio includes a content filtering system that works alongside core models and DALL-E image generation models.

> [!IMPORTANT]
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6 changes: 3 additions & 3 deletions articles/ai-studio/concepts/fine-tuning-overview.md
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- build-2024
ms.topic: conceptual
ms.date: 5/29/2024
ms.reviewer: eur
ms.author: eur
author: eric-urban
ms.reviewer: sgilley
ms.author: sgilley
author: sdgilley
---

# Fine-tune models in Azure AI Studio
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8 changes: 3 additions & 5 deletions articles/ai-studio/concepts/retrieval-augmented-generation.md
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- build-2024
ms.topic: conceptual
ms.date: 5/21/2024
ms.reviewer: eur
ms.author: eur
author: eric-urban
ms.reviewer: sgilley
ms.author: sgilley
author: sdgilley
---

# Retrieval augmented generation and indexes

[!INCLUDE [Feature preview](~/reusable-content/ce-skilling/azure/includes/ai-studio/includes/feature-preview.md)]

This article talks about the importance and need for Retrieval Augmented Generation (RAG) and index in generative AI.

## What is RAG?
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6 changes: 3 additions & 3 deletions articles/ai-studio/faq.yml
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- build-2024
ms.topic: faq
ms.date: 5/21/2024
ms.reviewer: eur
ms.author: eur
author: eric-urban
ms.reviewer: sgilley
ms.author: sgilley
author: sdgilley
title: Azure AI frequently asked questions
summary: |
If you can't find answers to your questions in this document, and still need help check the [Azure AI services support options guide](../ai-services/cognitive-services-support-options.md?context=/azure/ai-services/openai/context/context). Azure OpenAI is part of Azure AI services.
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2 changes: 1 addition & 1 deletion articles/ai-studio/how-to/connections-add.md
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Expand Up @@ -33,7 +33,7 @@ Here's a table of some of the available connection types in Azure AI Studio. The
| Azure Blob Storage || Azure Blob Storage is a cloud storage solution for storing unstructured data like documents, images, videos, and application installers. |
| Azure Data Lake Storage Gen 2 || Azure Data Lake Storage Gen2 is a set of capabilities dedicated to big data analytics, built on Azure Blob storage. |
| Azure Content Safety || Azure AI Content Safety is a service that detects potentially unsafe content in text, images, and videos. |
| Azure OpenAI || Azure OpenAI is a service that provides access to the OpenAI GPT-3 model. |
| Azure OpenAI || Azure OpenAI is a service that provides access to OpenAI's models including the GPT-4o, GPT-4o mini, GPT-4, GPT-4 Turbo with Vision, GPT-3.5-Turbo, DALLE-3 and Embeddings model series with the security and enterprise capabilities of Azure. |
| Serverless Model || Serverless Model connections allow you to [serverless API deployment](deploy-models-serverless.md). |
| Microsoft OneLake || Microsoft OneLake provides open access to all of your Fabric items through Azure Data Lake Storage (ADLS) Gen2 APIs and SDKs.<br/><br/>In Azure AI Studio you can set up a connection to your OneLake data using a OneLake URI. You can find the information that Azure AI Studio requires to construct a __OneLake Artifact URL__ (workspace and item GUIDs) in the URL on the Fabric portal. For information about the URI syntax, see [Connecting to Microsoft OneLake](/fabric/onelake/onelake-access-api). |
| API key || API Key connections handle authentication to your specified target on an individual basis. For example, you can use this connection with the SerpApi tool in prompt flow. |
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2 changes: 1 addition & 1 deletion articles/ai-studio/how-to/data-image-add.md
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- build-2024
ms.topic: how-to
ms.date: 5/21/2024
ms.reviewer: eur
ms.reviewer: sgilley
ms.author: pafarley
author: PatrickFarley
---
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4 changes: 2 additions & 2 deletions articles/ai-studio/how-to/develop/ai-template-get-started.md
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ms.topic: how-to
ms.date: 5/21/2024
ms.reviewer: dantaylo
ms.author: eur
author: eric-urban
ms.author: sgilley
author: sdgilley
---

# How to get started with an AI template
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