Merge branch 'main' of https://github.com/MicrosoftDocs/azure-docs-pr into yelevin/remove-cef-field-mapping-article

Author: yelevin

articles/ai-services/openai/concepts/models.md

@@ -276,8 +276,9 @@ These models can only be used with Embedding API requests.
 | `gpt-35-turbo` (1106) | East US2 <br> North Central US <br> Sweden Central <br> Switzerland West | Input: 16,385<br> Output: 4,096 |  Sep 2021|
 | `gpt-35-turbo` (0125)  | East US2 <br> North Central US <br> Sweden Central <br> Switzerland West | 16,385 | Sep 2021 |
 | `gpt-4` (0613) <sup>**1**</sup> | North Central US <br> Sweden Central | 8192 | Sep 2021 |
+| `gpt-4o-mini` <sup>**1**</sup> (2024-07-18) | North Central US <br> Sweden Central | Input: 128,000 <br> Output: 16,384  <br> Training example context length: 64,536 | Oct 2023 |
 
-**<sup>1</sup>** GPT-4 fine-tuning is currently in public preview. See our [GPT-4 fine-tuning safety evaluation guidance](/azure/ai-services/openai/how-to/fine-tuning?tabs=turbo%2Cpython-new&pivots=programming-language-python#safety-evaluation-gpt-4-fine-tuning---public-preview) for more information.
+**<sup>1</sup>** GPT-4 and GPT-4o mini fine-tuning is currently in public preview. See our [GPT-4 & GPT-4o mini fine-tuning safety evaluation guidance](/azure/ai-services/openai/how-to/fine-tuning?tabs=turbo%2Cpython-new&pivots=programming-language-python#safety-evaluation-gpt-4-fine-tuning---public-preview) for more information.
 
 ### Whisper models
 

articles/ai-services/openai/how-to/fine-tuning.md

@@ -7,7 +7,7 @@ manager: nitinme
 ms.service: azure-ai-openai
 ms.custom: build-2023, build-2023-dataai, devx-track-python
 ms.topic: how-to
-ms.date: 07/25/2024
+ms.date: 08/02/2024
 author: mrbullwinkle
 ms.author: mbullwin
 zone_pivot_groups: openai-fine-tuning-new

articles/ai-services/openai/includes/fine-tuning-openai-in-ai-studio.md

@@ -31,7 +31,8 @@ The following models support fine-tuning:
 - `gpt-35-turbo` (0613)
 - `gpt-35-turbo` (1106)
 - `gpt-35-turbo` (0125)
-- `gpt-4` (0613)**<sup>*</sup>** 
+- `gpt-4` (0613)**<sup>*</sup>**
+- `gpt-4o-mini` (2024-07-18)**<sup>*</sup>**
 
 **<sup>*</sup>** Fine-tuning for this model is currently in public preview.
 

articles/ai-services/openai/includes/fine-tuning-python.md

@@ -32,6 +32,7 @@ The following models support fine-tuning:
 - `gpt-35-turbo` (1106)
 - `gpt-35-turbo` (0125)
 - `gpt-4` (0613)**<sup>*</sup>**
+- `gpt-4o-mini` (2024-07-18)**<sup>*</sup>**
 
 **<sup>*</sup>** Fine-tuning for this model is currently in public preview.
 

articles/ai-services/openai/includes/fine-tuning-rest.md

@@ -6,7 +6,7 @@ description: Learn how to create your own customized model with Azure OpenAI Ser
 manager: nitinme
 ms.service: azure-ai-openai
 ms.topic: include
-ms.date: 05/16/2024
+ms.date: 08/02/2024
 author: mrbullwinkle
 ms.author: mbullwin
 ---
@@ -30,7 +30,8 @@ The following models support fine-tuning:
 - `gpt-35-turbo` (0613)
 - `gpt-35-turbo` (1106)
 - `gpt-35-turbo` (0125)
-- `gpt-4` (0613)**<sup>*</sup>** 
+- `gpt-4` (0613)**<sup>*</sup>**
+- `gpt-4o-mini` (2024-07-18)**<sup>*</sup>**
 
 **<sup>*</sup>** Fine-tuning for this model is currently in public preview.
 

articles/ai-services/openai/includes/fine-tuning-studio.md

@@ -29,7 +29,8 @@ The following models support fine-tuning:
 - `gpt-35-turbo` (0613)
 - `gpt-35-turbo` (1106)
 - `gpt-35-turbo` (0125)
-- `gpt-4` (0613)**<sup>*</sup>** 
+- `gpt-4` (0613)**<sup>*</sup>**
+- `gpt-4o-mini` (2024-07-18)**<sup>*</sup>**
 
 **<sup>*</sup>** Fine-tuning for this model is currently in public preview.
 

articles/ai-services/openai/includes/safety-evaluation.md

@@ -10,13 +10,13 @@ author: mrbullwinkle
 ms.author: mbullwin
 ---
 
-GPT-4 is our most advanced model that can be fine-tuned to your needs. As with Azure OpenAI models generally, the advanced capabilities of fine-tuned models come with increased responsible AI challenges related to harmful content, manipulation, human-like behavior, privacy issues, and more. Learn more about risks, capabilities, and limitations in the [Overview of Responsible AI practices](/legal/cognitive-services/openai/overview?context=%2Fazure%2Fai-services%2Fopenai%2Fcontext%2Fcontext) and [Transparency Note](/legal/cognitive-services/openai/transparency-note?context=%2Fazure%2Fcognitive-services%2Fopenai%2Fcontext%2Fcontext&tabs=text). To help mitigate the risks associated with GPT-4 fine-tuned models, we have implemented additional evaluation steps to help detect and prevent harmful content in the training and outputs of fine-tuned models. These steps are grounded in the [Microsoft Responsible AI Standard](https://www.microsoft.com/ai/responsible-ai) and [Azure OpenAI Service content filtering](/azure/ai-services/openai/concepts/content-filter?tabs=warning%2Cpython-new).
+GPT-4 and GPT-4o-mini are our most advanced models that can be fine-tuned to your needs. As with Azure OpenAI models generally, the advanced capabilities of fine-tuned models come with increased responsible AI challenges related to harmful content, manipulation, human-like behavior, privacy issues, and more. Learn more about risks, capabilities, and limitations in the [Overview of Responsible AI practices](/legal/cognitive-services/openai/overview?context=%2Fazure%2Fai-services%2Fopenai%2Fcontext%2Fcontext) and [Transparency Note](/legal/cognitive-services/openai/transparency-note?context=%2Fazure%2Fcognitive-services%2Fopenai%2Fcontext%2Fcontext&tabs=text). To help mitigate the risks associated with GPT-4 and GPT-4o-mini fine-tuned models, we have implemented additional evaluation steps to help detect and prevent harmful content in the training and outputs of fine-tuned models. These steps are grounded in the [Microsoft Responsible AI Standard](https://www.microsoft.com/ai/responsible-ai) and [Azure OpenAI Service content filtering](/azure/ai-services/openai/concepts/content-filter?tabs=warning%2Cpython-new).
 
 - Evaluations are conducted in dedicated, customer specific, private workspaces;
 - Evaluation endpoints are in the same geography as the Azure OpenAI resource;
 - Training data is not stored in connection with performing evaluations; only the final model assessment (deployable or not deployable) is persisted; and
 
-GPT-4 fine-tuned model evaluation filters are set to predefined thresholds and cannot be modified by customers; they aren't tied to any custom content filtering configuration you may have created.
+GPT-4 and GPT-4o-mini fine-tuned model evaluation filters are set to predefined thresholds and cannot be modified by customers; they aren't tied to any custom content filtering configuration you may have created.
 
 ### Data evaluation
 

articles/ai-services/openai/whats-new.md

@@ -10,7 +10,7 @@ ms.custom:
   - ignite-2023
   - references_regions
 ms.topic: whats-new
-ms.date: 07/31/2024
+ms.date: 08/02/2024
 recommendations: false
 ---
 
@@ -20,6 +20,10 @@ This article provides a summary of the latest releases and major documentation u
 
 ## July 2024
 
+### GPT-4o mini is now available for fine-tuning
+
+GPT-4o mini fine-tuning is [now available in public preview](./concepts/models.md#fine-tuning-models) in Sweden Central and in North Central US.
+
 ### Assistants File Search tool is now billed
 
 The [file search](./how-to/file-search.md) tool for Assistants now has additional charges for usage. See the [pricing page](https://azure.microsoft.com/pricing/details/cognitive-services/openai-service/) for more information.

articles/ai-services/speech-service/includes/release-notes/release-notes-tts.md

@@ -7,6 +7,12 @@ ms.author: eur
 ms.custom: references_regions
 ---
 
+### July 2024 release
+
+#### Text to speech avatar (GA)
+
+Text to speech avatar is now generally available. For more information, see [text to speech avatar](../../text-to-speech-avatar/what-is-text-to-speech-avatar.md).
+
 ### June 2024 release
 
 #### Prebuilt neural voice

articles/ai-studio/concepts/concept-synthetic-data.md

@@ -15,17 +15,14 @@ ms.custom: references_regions
 
 # Synthetic data generation in Azure AI Studio
 
-In this article
-  - [Synthetic data generation](#synthetic-data-generation)
-  - [Next Steps](#next-steps)
+In Azure AI Studio, you can use synthetic data generation to efficiently produce predictions for your datasets. In this article, you're introduced to the concept of synthetic data generation and how it can be used in machine learning.
 
-In Azure AI Studio, you can leverage synthetic data generation to efficiently produce predictions for your datasets.
 
 ## Synthetic data generation
 
 Synthetic data generation involves creating artificial data that mimics the statistical properties of real-world data. This data is generated using algorithms and machine learning techniques, and it can be used in various ways, such as computer simulations or by modeling real-world events.
 
-In machine learning, synthetic data is particularly valuable for several reasons:
+In machine learning, synthetic data is valuable for several reasons:
 
 **Data Augmentation:** It helps in expanding the size of training datasets, which is crucial for training robust machine learning models. This is especially useful when real-world data is scarce or expensive to obtain.
 
@@ -37,4 +34,4 @@ You can use the sample notebook available at this [link](https://aka.ms/meta-lla
 - [What is Azure AI Studio?](../what-is-ai-studio.md)
 - [Learn more about deploying Meta Llama models](../how-to/deploy-models-llama.md)
 
-- [Azure AI FAQ article](../faq.yml)
+- [Azure AI FAQ article](../faq.yml)