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Copy file name to clipboardExpand all lines: articles/ai-studio/concepts/ai-resources.md
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The 'Azure AI' resource is the top-level Azure resource for AI Studio and provides the working environment for a team to build and manage AI applications. In Azure, resources enable access to Azure services for individuals and teams. Resources also provide a container for billing, security configuration and monitoring.
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The Azure AI hub resource is used to access multiple Azure AI services with a single setup. Previously, different Azure AI services including [Azure OpenAI](../../ai-services/openai/overview.md), [Azure Machine Learning](../../machine-learning/overview-what-is-azure-machine-learning.md), [Azure Speech](../../ai-services/speech-service/overview.md), required their individual setup.
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The Azure AI hub resource is used to access multiple Azure AI services with a single setup. Previously, different Azure AI services including [Azure OpenAI](../../ai-services/openai/overview.md), [Azure Machine Learning](../../machine-learning/overview-what-is-azure-machine-learning.md), [Azure AI Speech](../../ai-services/speech-service/overview.md), required their individual setup.
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In this article, you learn more about Azure AI hub resource's capabilities, and how to set up Azure AI for your organization. You can see the resources created in the [Azure portal](https://portal.azure.com/) and in [Azure AI Studio](https://ai.azure.com).
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## Central setup and management concepts
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Various management concepts are available on Azure AI hub resources to support team leads and admins to centrally manage a team's environment. In [Azure AI Studio](https://ai.azure.com/), you find these on the **Manage** page.
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Various management concepts are available on Azure AI hub resources to support team leads and admins to centrally manage a team's environment.
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***Security configuration** including public network access, [virtual networking](#virtual-networking), customer-managed key encryption, and privileged access to whom can create projects for customization. Security settings configured on the Azure AI hub resource automatically pass down to each project. A managed virtual network is shared between all projects that share the same Azure AI hub resource.
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***Connections** are named and authenticated references to Azure and non-Azure resources like data storage providers. Use a connection as a means for making an external resource available to a group of developers without having to expose its stored credential to an individual.
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## Organize work in projects for customization
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An Azure AI hub resource provides the hosting environment for **projects** in AI Studio. A project is an organizational container that has tools for AI customization and orchestration, lets you organize your work, save state across different tools like prompt flow, and collaborate with others. For example, you can share uploaded files and connections to data sources.
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An Azure AI hub resource provides the hosting environment for [Azure AI projects](../how-to/create-projects.md) in AI Studio. A project is an organizational container that has tools for AI customization and orchestration, lets you organize your work, save state across different tools like prompt flow, and collaborate with others. For example, you can share uploaded files and connections to data sources.
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Multiple projects can use an Azure AI hub resource, and a project can be used by multiple users. A project also helps you keep track of billing, and manage access and provides data isolation. Every project has dedicated storage containers to let you upload files and share it with only other project members when using the 'data' experiences.
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## Azure AI services API access keys
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The Azure AI hub resource exposes API endpoints and keys for prebuilt AI services that are created by Microsoft such as Speech services and Language service. Which precise services are available to you is subject to your Azure region and your chosen Azure AI services provider at the time of setup ('advanced' option):
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The Azure AI hub resource exposes API endpoints and keys for prebuilt AI services that are created by Microsoft such as Azure OpenAI Service. Which precise services are available to you is subject to your Azure region and your chosen Azure AI services provider at the time of setup ('advanced' option):
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* If you create an Azure AI hub resource using the default configuration, you'll have by default capabilities enabled for Azure OpenAI service, Speech, Vision, Content Safety.
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* If you create an Azure AI hub resource and choose an existing Azure OpenAI resource as service provider, you'll only have capabilities for Azure OpenAI service. Use this option if you'd like to reuse existing Azure OpenAI quota and models deployments. Currently, there's no upgrade path to get Speech and Vision capabilities after deployment.
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* If you create an Azure AI hub resource together with an existing Azure OpenAI Service resource, you only have capabilities for Azure OpenAI Service. Use this option if you'd like to reuse existing Azure OpenAI quota and models deployments. Currently, there's no upgrade path to get Speech and Vision capabilities after the AI hub is created.
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* If you create an Azure AI hub resource together with an Azure AI services provider, you can use Azure OpenAI Service and other AI services such as Speech and Vision. Currently, this option is only available via the Azure AI CLI and SDK.
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To understand the full layering of Azure AI hub resources and its Azure dependencies including the Azure AI services provider, and how these is represented in Azure AI Studio and in the Azure portal, see [Find Azure AI Studio resources in the Azure portal](#find-azure-ai-studio-resources-in-the-azure-portal).
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> [!NOTE]
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> This Azure AI services resource is similar but not to be confused with the standalone "Azure AI services multi-service account" resource. Their capabilities vary, and the standalone resource is not supported in Azure AI Studio. Going forward, we recommend using the Azure AI services resource that's provided with your Azure AI hub resource.
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With the same API key, you can access all of the following Azure AI services:
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| Service | Description |
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|Dependent Azure resource|Note|
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|---|---|
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|Azure AI services|Either Azure AI services multi-service provider, or Azure OpenAI service. Provides API endpoints and keys for prebuilt AI services.|
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|Azure AI services|Either Azure AI services multi-service provider, or Azure OpenAI Service. Provides API endpoints and keys for prebuilt AI services.|
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|Azure Storage account|Stores artifacts for your projects like flows and evaluations. For data isolation, storage containers are prefixed using the project GUID, and conditionally secured using Azure ABAC for the project identity.|
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|Azure Key Vault| Stores secrets like connection strings for your resource connections. For data isolation, secrets can't be retrieved across projects via APIs.|
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|Azure Container Registry| Stores docker images created when using custom runtime for prompt flow. For data isolation, docker images are prefixed using the project GUID.|
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> [!NOTE]
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> This section assumes that the Azure AI hub resource and Azure AI project are in the same resource group.
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In Azure AI Studio, go to **Build** > **Settings** to view your Azure AI project resources such as connections and API keys. There's a link to view the corresponding resources in the Azure portal and a link to your Azure AI hub resource in Azure AI Studio.
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:::image type="content" source="../media/concepts/azureai-project-view-ai-studio.png" alt-text="Screenshot of the Azure AI project and related resources in the Azure AI Studio." lightbox="../media/concepts/azureai-project-view-ai-studio.png":::
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In Azure AI Studio, go to **Manage** (or select the Azure AI hub resource link from the project settings page) to view your Azure AI hub resource, including projects and shared connections. There's also a link to view the corresponding resources in the Azure portal.
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:::image type="content" source="../media/concepts/azureai-resource-view-ai-studio.png" alt-text="Screenshot of the Azure AI hub resource and related resources in the Azure AI Studio." lightbox="../media/concepts/azureai-resource-view-ai-studio.png":::
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After you select **View in the Azure Portal**, you see your Azure AI hub resource in the Azure portal.
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:::image type="content" source="../media/concepts/docs-azure-ai-resource.png" alt-text="Screenshot of the Azure AI hub resource in the Azure portal." lightbox="../media/concepts/docs-azure-ai-resource.png":::
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Select the resource group name to see all associated resources, including the Azure AI project, storage account, and key vault.
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1. In [Azure AI Studio](https://ai.azure.com), go to **Build** > **Settings** to view your Azure AI project resources such as connections and API keys. There's a link to your Azure AI hub resource in Azure AI Studio and links to view the corresponding project resources in the [Azure portal](https://portal.azure.com).
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:::image type="content" source="../media/concepts/rg-docs-azure-ai-resource.png" alt-text="Screenshot of the Azure AI hub resource group in the Azure portal." lightbox="../media/concepts/rg-docs-azure-ai-resource.png":::
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:::image type="content" source="../media/concepts/azureai-project-view-ai-studio.png" alt-text="Screenshot of the Azure AI project and related resources in the Azure AI Studio." lightbox="../media/concepts/azureai-project-view-ai-studio.png":::
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From the resource group, you can select the Azure AI project for more details.
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1. Select the AI hub name to view your Azure AI hub's projects and shared connections. There's also a link to view the corresponding resources in the [Azure portal](https://portal.azure.com).
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:::image type="content" source="../media/concepts/docs-project.png" alt-text="Screenshot of the Azure AI project in the Azure portal." lightbox="../media/concepts/docs-project.png":::
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:::image type="content" source="../media/concepts/azureai-resource-view-ai-studio.png" alt-text="Screenshot of the Azure AI hub resource and related resources in the Azure AI Studio." lightbox="../media/concepts/azureai-resource-view-ai-studio.png":::
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Also from the resource group, you can select the **Azure AI service**resource to see the keys and endpoints needed to authenticate your requests to Azure AI services.
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1. Select **View in the Azure Portal** to see your Azure AI hub resource in the Azure portal.
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:::image type="content" source="../media/concepts/docs-azure-ai-resource-aiservices-keys.png" alt-text="Screenshot of the Azure AI service resource in the Azure portal." lightbox="../media/concepts/docs-azure-ai-resource-aiservices-keys.png":::
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:::image type="content" source="../media/concepts/ai-hub-azure-portal.png" alt-text="Screenshot of the Azure AI hub resource in the Azure portal." lightbox="../media/concepts/ai-hub-azure-portal.png":::
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You can use the same API key to access all of the supported service endpoints that are listed.
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- Select the **AI Services provider** to see the keys and endpoints needed to authenticate your requests to Azure AI services such as Azure OpenAI. For more information, see [Azure AI services API access keys](#azure-ai-services-api-access-keys).
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- Also from the Azure AI hub page, you can select the **Project resource group** to find your Azure AI project.
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:::image type="content" source="../media/concepts/docs-azure-ai-resource-aiservices-keys-endpoints.png" alt-text="Screenshot of the Azure AI service resource endpoints in the Azure portal." lightbox="../media/concepts/docs-azure-ai-resource-aiservices-keys-endpoints.png":::
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## Next steps
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-[Quickstart: Generate product name ideas in the Azure AI Studio playground](../quickstarts/playground-completions.md)
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-[Quickstart: Analyze images and video with GPT-4 for Vision in the playground](../quickstarts/multimodal-vision.md)
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-[Learn more about Azure AI Studio](../what-is-ai-studio.md)
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-[Learn more about Azure AI Studio projects](../how-to/create-projects.md)
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## Connections to Azure AI services
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You can create connections to Azure AI services such as Azure AI Content Safety and Azure OpenAI. You can then use the connection in a prompt flow tool such as the LLM tool.
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You can create connections to Azure AI services such as Azure OpenAI and Azure AI Content Safety. You can then use the connection in a prompt flow tool such as the LLM tool.
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:::image type="content" source="../media/prompt-flow/llm-tool-connection.png" alt-text="Screenshot of a connection used by the LLM tool in prompt flow." lightbox="../media/prompt-flow/llm-tool-connection.png":::
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Projects are hosted by an Azure AI hub resource that provides enterprise-grade security and a collaborative environment. For more information about the Azure AI projects and resources model, see [Azure AI hub resources](../concepts/ai-resources.md).
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## Create a project
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You can create a project in Azure AI Studio in more than one way. The most direct way is from the **Build** tab.
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1. Select the **Build** tab at the top of the page.
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From the Azure AI Studio playground, you can choose how to add your image data for GPT-4 Turbo with Vision:
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*[Upload image files and metadata](?tabs=upload-image-files-and-metadata): You can upload image files and metadata in the playground. This option is useful if you have a small number of image files.
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*[Azure AI Search](?tabs=azure-ai-search): If you have an existing [Azure AI search](/azure/search/search-what-is-azure-search) index, you can use it as a data source.
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*[Azure AI Search](?tabs=azure-ai-search): If you have an existing [Azure AI Search](/azure/search/search-what-is-azure-search) index, you can use it as a data source.
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*[Azure Blob Storage](?tabs=azure-blob-storage): The Azure Blob storage option is especially useful if you have a large number of image files and don't want to manually upload each one.
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Each option uses an Azure AI Search index to do image-to-image search and retrieve the top search results for your input prompt image.
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# [Azure AI Search](#tab/azure-ai-search)
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If you have an existing [Azure AI search](/azure/search/search-what-is-azure-search) index, you can use it as a data source.
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If you have an existing [Azure AI Search](/azure/search/search-what-is-azure-search) index, you can use it as a data source.
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If you don't already have a search index created for your images:
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- You can create one using the [AI Search vector search repository on GitHub](https://github.com/Azure/cognitive-search-vector-pr), which provides you with scripts to create an index with your image files.
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1. Enter your data source details:
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:::image type="content" source="../media/data-add/use-your-image-data/add-image-data-ai-search.png" alt-text="A screenshot showing the Azure AI search index selection." lightbox="../media/data-add/use-your-image-data/add-image-data-ai-search.png":::
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:::image type="content" source="../media/data-add/use-your-image-data/add-image-data-ai-search.png" alt-text="A screenshot showing the Azure AI Search index selection." lightbox="../media/data-add/use-your-image-data/add-image-data-ai-search.png":::
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-**Subscription**: Select the Azure subscription that contains the Azure OpenAI resource you want to use.
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-**Azure AI Search service**: Select your Azure AI Search service resource that has an image search index.
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1. Review the details you entered.
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:::image type="content" source="../media/data-add/use-your-image-data/add-your-data-ai-search-review-finish.png" alt-text="Screenshot of the review and finish page for adding data via Azure AI search." lightbox="../media/data-add/use-your-image-data/add-your-data-ai-search-review-finish.png":::
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:::image type="content" source="../media/data-add/use-your-image-data/add-your-data-ai-search-review-finish.png" alt-text="Screenshot of the review and finish page for adding data via Azure AI Search." lightbox="../media/data-add/use-your-image-data/add-your-data-ai-search-review-finish.png":::
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1. Select **Save and close**.
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>
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> When adding data to the selected storage account for the first time in Azure AI Studio, you might be prompted to turn on [cross-origin resource sharing (CORS)](/rest/api/storageservices/cross-origin-resource-sharing--cors--support-for-the-azure-storage-services). Azure AI Studio and Azure OpenAI need access your Azure Blob storage account.
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:::image type="content" source="../media/data-add/use-your-image-data/add-image-data-blob.png" alt-text="A screenshot showing the Azure storage account and Azure AI search index selection." lightbox="../media/data-add/use-your-image-data/add-image-data-blob.png":::
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:::image type="content" source="../media/data-add/use-your-image-data/add-image-data-blob.png" alt-text="A screenshot showing the Azure storage account and Azure AI Search index selection." lightbox="../media/data-add/use-your-image-data/add-image-data-blob.png":::
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-**Subscription**: Select the Azure subscription that contains the Azure OpenAI resource you want to use.
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-**Storage resource** and **Storage container**: Select the Azure Blob storage resource where the image files and metadata are already stored.
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For the general deployment error code reference, you can go to the [Azure Machine Learning documentation](/azure/machine-learning/how-to-troubleshoot-online-endpoints). Much of the information there also applies to Azure AI Studio deployments.
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**Question:** I got the following error message. What should I do?
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"Use of Azure OpenAI models in Azure Machine Learning requires Azure OpenAI services resources. This subscription or region doesn't have access to this model."
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"Use of Azure OpenAI models in Azure Machine Learning requires Azure OpenAI Services resources. This subscription or region doesn't have access to this model."
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**Answer:** You might not have access to this particular Azure OpenAI model. For example, your subscription might not have access to the latest GPT model yet or this model isn't offered in the region you want to deploy to. You can learn more about it on [Azure OpenAI Service models](../../ai-services/openai/concepts/models.md).
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