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Merge pull request #283716 from MicrosoftDocs/release-2024-openai-aug-vnext
[Tracking Branch] [Aug Azure OpenAI Release] 08/07 - 9 AM PT
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articles/ai-services/openai/concepts/models.md

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description: Learn about the different model capabilities that are available with Azure OpenAI.
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ms.service: azure-ai-openai
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ms.topic: conceptual
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ms.date: 07/31/2024
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ms.date: 08/06/2024
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ms.custom: references_regions, build-2023, build-2023-dataai, refefences_regions
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manager: nitinme
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author: mrbullwinkle #ChrisHMSFT
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| [Whisper](#whisper-models) | A series of models in preview that can transcribe and translate speech to text. |
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| [Text to speech](#text-to-speech-models-preview) (Preview) | A series of models in preview that can synthesize text to speech. |
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## Early access playground (preview)
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On August 6, 2024, OpenAI [announced](https://openai.com/index/introducing-structured-outputs-in-the-api/) the latest version of their flagship GPT-4o model version `2024-08-06`. GPT-4o `2024-08-06` has all the capabilities of the previous version as well as:
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* An enhanced ability to support complex structured outputs.
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* Max output tokens have been increased from 4,096 to 16,384.
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Azure customers can test out GPT-4o `2024-08-06` today in the new AI Studio early access playground (preview).
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Unlike the previous early access playground, the AI Studio early access playground (preview) does not require you to have a resource in a specific region.
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> [!NOTE]
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> Prompts and completions made through the early access playground (preview) may be processed in any Azure OpenAI region, and are currently subject to a 10 request per minute per Azure subscription limit. This limit may change in the future.
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>
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> Azure OpenAI Service abuse monitoring is enabled for all early access playground users even if approved for modification; default content filters are enabled and cannot be modified.
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To test out GPT-4o `2024-08-06`, sign-in to the Azure AI early access playground (preview) using this [link](https://aka.ms/oai/docs/earlyaccessplayground).
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## GPT-4o and GPT-4 Turbo
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GPT-4o integrates text and images in a single model, enabling it to handle multiple data types simultaneously. This multimodal approach enhances accuracy and responsiveness in human-computer interactions. GPT-4o matches GPT-4 Turbo in English text and coding tasks while offering superior performance in non-English languages and vision tasks, setting new benchmarks for AI capabilities.

articles/ai-services/openai/reference.md

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ms.date: 07/09/2024
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articles/ai-services/openai/whats-new.md

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ms.date: 08/06/2024
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---
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## August 2024
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### Latest GPT-4o model available in the early access playground (preview)
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On August 6, 2024, OpenAI [announced](https://openai.com/index/introducing-structured-outputs-in-the-api/) the latest version of their flagship GPT-4o model version `2024-08-06`. GPT-4o `2024-08-06` has all the capabilities of the previous version as well as:
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* An enhanced ability to support complex structured outputs.
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* Max output tokens have been increased from 4,096 to 16,384.
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Azure customers can test out GPT-4o `2024-08-06` today in the new AI Studio early access playground (preview).
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Unlike the previous early access playground, the AI Studio early access playground (preview) does not require you to have a resource in a specific region.
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> [!NOTE]
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> Prompts and completions made through the early access playground (preview) may be processed in any Azure OpenAI region, and are currently subject to a 10 request per minute per Azure subscription limit. This limit may change in the future.
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>
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> Azure OpenAI Service abuse monitoring is enabled for all early access playground users even if approved for modification; default content filters are enabled and cannot be modified.
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To test out GPT-4o `2024-08-06`, sign-in to the Azure AI early access playground (preview) using this [link](https://aka.ms/oai/docs/earlyaccessplayground).
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### Global batch deployments are now available
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The Azure OpenAI Batch API is designed to handle large-scale and high-volume processing tasks efficiently. Process asynchronous groups of requests with separate quota, with 24-hour target turnaround, at [50% less cost than global standard](https://azure.microsoft.com/pricing/details/cognitive-services/openai-service/). With batch processing, rather than send one request at a time you send a large number of requests in a single file. Global batch requests have a separate enqueued token quota avoiding any disruption of your online workloads.

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