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Merge pull request #279781 from MicrosoftDocs/repo_sync_working_branch
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articles/ai-services/language-service/question-answering/overview.md

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# What is custom question answering?
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> [!NOTE]
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> [Azure Open AI On Your Data](../../openai/concepts/use-your-data.md) utilizes large language models (LLMs) to produce similar results to Custom Question Answering. If you wish to connect an existing Custom Question Answering project to Azure Open AI On Your Data, please check out our [guide]( how-to/azure-openai-integration.md).
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> [Azure OpenAI On Your Data](../../openai/concepts/use-your-data.md) utilizes large language models (LLMs) to produce similar results to Custom Question Answering. If you wish to connect an existing Custom Question Answering project to Azure OpenAI On Your Data, please check out our [guide]( how-to/azure-openai-integration.md).
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Custom question answering provides cloud-based Natural Language Processing (NLP) that allows you to create a natural conversational layer over your data. It is used to find appropriate answers from customer input or from a project.
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articles/aks/eks-edw-deploy.md

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As the script executes the commands to configure the infrastructure for the workflow, it checks that each command executes successfully. If any issues occur, an error message is displayed, and the execution stops.
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The script displays a log as it runs. You can persist the log by redirecting the log information output and saving it to the `install.log` file in the `logs` directory using the following command:
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The script displays a log as it runs. You can persist the log by redirecting the log information output and saving it to the `install.log` file in the `logs` directory using the following commands:
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```bash
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mkdir ./logs
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[helm-aks]: ./kubernetes-helm.md
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[k8s-aks]: ./deploy-marketplace.md
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[openai-aks]: ./open-ai-quickstart.md
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[nap-aks]: ./node-autoprovision.md
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[nap-aks]: ./node-autoprovision.md

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