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articles/ai-services/openai/includes/assistants-csharp.md

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### Create a new .NET Core application
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1. In a console window (such as cmd, PowerShell, or Bash), use the [`dotnet new`](/dotnet/core/tools/dotnet-new) command to create a new console app with the name `azure-openai-quickstart`:
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1. In a console window (such as cmd, PowerShell, or Bash), use the [`dotnet new`](/dotnet/core/tools/dotnet-new) command to create a new console app with the name `azure-openai-assistants-quickstart`:
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```dotnetcli
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dotnet new console -n azure-openai-assistants-quickstart
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```
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2. Change into the directory of the newly created app folder and build the app with the [`dotnet build`](/dotnet/core/tools/dotnet-build) command:
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2. In the newly created `azure-openai-assistants-quickstart` folder, build the app with the [`dotnet build`](/dotnet/core/tools/dotnet-build) command:
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```dotnetcli
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dotnet build

articles/ai-services/openai/toc.yml

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href: ./tutorials/fine-tune.md
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- name: Security & Governance
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items:
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- name: Data, privacy, and security
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href: /legal/cognitive-services/openai/data-privacy?context=/azure/ai-services/openai/context/context
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- name: Use virtual networks
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href: ../cognitive-services-virtual-networks.md?context=/azure/ai-services/openai/context/context
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- name: Encryption of data at rest

articles/ai-studio/how-to/configure-managed-network.md

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* Data exfiltration protection is automatically enabled for the only approved outbound mode. If you add other outbound rules, such as to FQDNs, Microsoft can't guarantee that you're protected from data exfiltration to those outbound destinations.
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* Using FQDN outbound rules increases the cost of the managed virtual network because FQDN rules use Azure Firewall. For more information, see [Pricing](#pricing).
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* FQDN outbound rules only support ports 80 and 443.
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* If you want to disable compute instance's Public IP, you must add a private endpoint to a hub.
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* When using a compute instance with a managed network, use the `az ml compute connect-ssh` command to connect to the compute using SSH.
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* If your managed network is configured to __allow only approved outbound__, you can't use an FQDN rule to access Azure Storage Accounts. You must use a private endpoint instead.
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articles/ai-studio/how-to/develop/sdk-overview.md

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## Azure AI Agent Service
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Azure AI Agent Service is a fully managed service designed to empower developers to securely build, deploy, and scale high-quality, and extensible AI agents. Using an extensive ecosystem of models, tools and capabilities from OpenAI, Microsoft, and third-party providers, Azure AI Agent Service enables building agents for a wide range of generative AI use cases.
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To get access to agents, [sign-up for the preview](https://nam.dcv.ms/nzy5CEG6Br).
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Azure AI Agent Service is a fully managed service designed to empower developers to securely build, deploy, and scale high-quality, and extensible AI agents. Using an extensive ecosystem of models, tools and capabilities from OpenAI, Microsoft, and third-party providers, [Azure AI Agent Service](/azure/ai-services/agents) enables building agents for a wide range of generative AI use cases.
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## Evaluation
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articles/machine-learning/how-to-manage-registries.md

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[!INCLUDE [CLI v2 preres](includes/machine-learning-cli-prereqs.md)]
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[!INCLUDE [CLI v2 update](./includes/new-feature-cli.md)]
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## Prepare to create registry
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You need to decide the following information carefully before proceeding to create a registry:

articles/machine-learning/includes/machine-learning-amlignore-gitignore.md

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author: blackmist
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ms.service: azure-machine-learning
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ms.topic: include
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ms.date: 05/06/2020
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ms.date: 02/10/2025
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ms.author: larryfr
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articles/machine-learning/includes/machine-learning-application-insight.md

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author: nibaccam
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ms.service: azure-machine-learning
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ms.date: 01/04/2022
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ms.date: 02/10/2025
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ms.author: larryfr
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articles/machine-learning/includes/machine-learning-cli-prepare.md

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author: blackmist
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ms.service: azure-machine-learning
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ms.date: 10/26/2021
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ms.date: 02/10/2025
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articles/machine-learning/includes/machine-learning-cli-sdk-v2-prereqs.md

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ms.service: azure-machine-learning
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ms.date: 10/07/2022
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ms.date: 02/10/2025
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articles/machine-learning/includes/machine-learning-customer-managed-keys.md

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ms.custom:
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- ignite-2023
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ms.topic: include
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ms.date: 10/27/2023
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ms.date: 02/10/2025
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ms.author: larryfr
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monikerRange: 'azureml-api-2 || azureml-api-1'
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---

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