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add classic banner to openai directory
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articles/ai-foundry/openai/authoring-reference-preview.md

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# Azure OpenAI in Microsoft Foundry Models authoring REST API preview reference
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[!INCLUDE [classic-banner](../includes/classic-banner.md)]
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This article provides details on the inference REST API endpoints for Azure OpenAI.
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[!INCLUDE [API surfaces](./includes/api-surface.md)]

articles/ai-foundry/openai/azure-government.md

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# Azure OpenAI and features in Azure Government
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[!INCLUDE [classic-banner](../includes/classic-banner.md)]
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This article highlights the differences when using Azure OpenAI in Azure Government as compared to the commercial cloud offering. Learn more about the Azure OpenAI itself in [Azure OpenAI documentation](/azure/ai-foundry/openai/).
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<br><br>
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articles/ai-foundry/openai/concepts/assistants.md

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# Azure OpenAI Assistants API (Preview)
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[!INCLUDE [agent-service](../includes/agent-service.md)]
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Assistants, a feature of Azure OpenAI in Microsoft Foundry Models, is designed to make it easier for developers to create applications with sophisticated copilot-like experiences that can sift through data, suggest solutions, and automate tasks.

articles/ai-foundry/openai/concepts/audio.md

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# Audio capabilities in Azure OpenAI in Microsoft Foundry Models
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> [!IMPORTANT]
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> The content filtering system isn't applied to prompts and completions processed by the audio models such as Whisper in Azure OpenAI.
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articles/ai-foundry/openai/concepts/content-credentials.md

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# Content Credentials
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With the improved quality of content from generative AI models, there is an increased need for more transparency about the origin of AI-generated content. All AI-generated images from Azure OpenAI in Microsoft Foundry Models include Content Credentials, a tamper-evident way to disclose the origin and history of content. Content Credentials are based on an open technical specification from the [Coalition for Content Provenance and Authenticity (C2PA)](https://www.c2pa.org), a Joint Development Foundation project.
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## What are Content credentials?

articles/ai-foundry/openai/concepts/customizing-llms.md

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# Getting started with customizing a large language model (LLM)
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There are several techniques for adapting a pre-trained language model to suit a specific task or domain. These include prompt engineering, RAG (Retrieval Augmented Generation), and fine-tuning. These three techniques are not mutually exclusive but are complementary methods that in combination can be applicable to a specific use case. In this article, we'll explore these techniques, illustrative use cases, things to consider, and provide links to resources to learn more and get started with each.
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## Prompt engineering

articles/ai-foundry/openai/concepts/gov-provisioned.md

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# Azure OpenAI Provisioned Managed Offering in Azure Government
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Microsoft launched improvements to its Provisioned Throughput offering in Azure Commercial that are now coming to Azure Government and that address customer feedback on usability and operational agility that open new payment options and deployment scenarios.
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This article highlights specific considerations for Azure Government. For general considerations on Provionsed Deployments and Reservations refer to:

articles/ai-foundry/openai/concepts/model-retirements.md

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# Azure OpenAI in Microsoft Foundry model deprecations and retirements
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Azure OpenAI models are continually refreshed with newer and more capable models. As part of this process, we deprecate and retire older models. This article provides information about models that are currently available, deprecated, and retired.
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## Model availability

articles/ai-foundry/openai/concepts/model-versions.md

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# Azure OpenAI in Microsoft Foundry Models model versions
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Azure OpenAI is committed to providing the best generative AI models for customers. As part of this commitment, Azure OpenAI regularly releases new model versions to incorporate the latest features and improvements from OpenAI.
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## How model versions work

articles/ai-foundry/openai/concepts/provisioned-migration.md

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# Azure OpenAI provisioned Managed offering updates
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[!INCLUDE [classic-banner](../../includes/classic-banner.md)]
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Microsoft launched improvements to its Provisioned Throughput offering that address customer feedback on usability and operational agility that open new payment options and deployment scenarios.
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This article is intended for existing users of the provisioned throughput offering. New customers should refer to the [Azure OpenAI provisioned onboarding guide](../how-to/provisioned-throughput-onboarding.md).

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