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articles/ai-services/openai/api-version-deprecation.md

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Azure OpenAI API version [2024-02-01](https://github.com/Azure/azure-rest-api-specs/blob/main/specification/cognitiveservices/data-plane/AzureOpenAI/inference/stable/2024-02-01/inference.json)
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is currently the latest GA API release. This API version is the replacement for the previous`2023-05-15` GA API release.
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This version contains support for the latest GA features like Whisper, DALL-E 3, fine-tuning, on your data, etc. Any preview features that were released after the `2023-12-01-preview` release like Assistants, TTS, certain on your data data sources, are only supported in the latest preview API releases.
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This version contains support for the latest GA features like Whisper, DALL-E 3, fine-tuning, on your data, etc. Any preview features that were released after the `2023-12-01-preview` release like Assistants, TTS, certain on your data datasources, are only supported in the latest preview API releases.
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## Retiring soon
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articles/ai-services/openai/concepts/content-filter.md

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# Content filtering
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> [!IMPORTANT]
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> The content filtering system isn't applied to prompts and completions processed by the Whisper model in Azure OpenAI Service. Learn more about the [Whisper model in Azure OpenAI](models.md#whisper-preview).
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> The content filtering system isn't applied to prompts and completions processed by the Whisper model in Azure OpenAI Service. Learn more about the [Whisper model in Azure OpenAI](models.md#whisper).
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Azure OpenAI Service includes a content filtering system that works alongside core models. This system works by running both the prompt and completion through an ensemble of classification models aimed at detecting and preventing the output of harmful content. The content filtering system detects and takes action on specific categories of potentially harmful content in both input prompts and output completions. Variations in API configurations and application design might affect completions and thus filtering behavior.
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articles/ai-services/openai/whats-new.md

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### 2024-02-01 general availability (GA) API released
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This is the latest GA API release and is the replacement for the previous `2023-05-15` GA release. This release adds support for the latest Azure OpenAI GA features like Whisper, DALLE-3, fine-tuning, on your data etc.
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This is the latest GA API release and is the replacement for the previous `2023-05-15` GA release. This release adds support for the latest Azure OpenAI GA features like Whisper, DALLE-3, fine-tuning, on your data, etc.
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Features that are still in preview such as Assistants, text to speech (TTS), certain on your data data sources, still require a preview API version. For more information check out our [API version lifecycle guide](./api-version-deprecation.md).
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Features that are still in preview such as Assistants, text to speech (TTS), certain on your data datasources, still require a preview API version. For more information check out our [API version lifecycle guide](./api-version-deprecation.md).
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### Whisper general availability (GA)
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The Whisper speech to text model is now GA for both REST and Python. Client library SDKs are currently still in public preview.
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Try out Whisper by following a [quickstart](./whisper-quickstart.md.md).
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Try out Whisper by following a [quickstart](./whisper-quickstart.md).
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### DALL-E 3 general availability (GA)
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articles/ai-studio/concepts/content-filtering.md

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Azure AI Studio includes a content filtering system that works alongside core models.
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> [!IMPORTANT]
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> The content filtering system isn't applied to prompts and completions processed by the Whisper model in Azure OpenAI Service. Learn more about the [Whisper model in Azure OpenAI](../../ai-services/openai/concepts/models.md#whisper-preview).
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> The content filtering system isn't applied to prompts and completions processed by the Whisper model in Azure OpenAI Service. Learn more about the [Whisper model in Azure OpenAI](../../ai-services/openai/concepts/models.md#whisper).
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This system is powered by [Azure AI Content Safety](../../ai-services/content-safety/overview.md), and works by running both the prompt and completion through an ensemble of classification models aimed at detecting and preventing the output of harmful content. The content filtering system detects and takes action on specific categories of potentially harmful content in both input prompts and output completions. Variations in API configurations and application design might affect completions and thus filtering behavior.
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