Merge branch 'main' into release-arc-data

Author: v-alje

.openpublishing.redirection.machine-configuration.json

@@ -62,13 +62,33 @@ Base Pricing for GPT-4 Turbo with Vision is:
 
 See the [Tokens section of the overview](/azure/ai-services/openai/overview#tokens) for information on how text and images translate to tokens.
 
-Additionally, if you use video prompt integration with the Video Retrieval add-on, it accrues other costs:
-- Ingestion: $0.05 per minute of video
-- Transactions: $0.25 per 1000 queries of the Video Retrieval index
+If you turn on Enhancements, additional usage applies for using GPT-4 Turbo with Vision with Azure AI Vision functionality.
 
-Processing videos involves the use of extra tokens to identify key frames for analysis. The number of these additional tokens will be roughly equivalent to the sum of the tokens in the text input, plus 700 tokens.
+| Model        | Price        |
+|-----------------|-----------------|
+| + Enhanced add-on features for OCR | $1.5 per 1000 transactions |
+| + Enhanced add-on features for Object Detection | $1.5 per 1000 transactions |
+| + Enhanced add-on feature for “Add your Image” Image Embeddings | $1.5 per 1000 transactions |
+| + Enhanced add-on feature for “Video Retrieval” integration **<sup>1</sup>** | Ingestion: $0.05 per minute of video <br>Transactions: $0.25 per 1000 queries of the Video Retrieval index |
 
-### Example price calculation
+**<sup>1</sup>** Processing videos involves the use of extra tokens to identify key frames for analysis. The number of these additional tokens will be roughly equivalent to the sum of the tokens in the text input, plus 700 tokens.
+
+### Example image price calculation
+> [!IMPORTANT]
+> The following content is an example only, and prices are subject to change in the future.
+
+For a typical use case, take an image with both visible objects and text and a 100-token prompt input. When the service processes the prompt, it generates 100 tokens of output. In the image, both text and objects can be detected. The price of this transaction would be:
+
+| Item        | Detail        | Total Cost   |
+|-----------------|-----------------|--------------|
+| GPT-4 Turbo with Vision input tokens | 100 text tokens | $0.001 |
+| Enhanced add-on features for OCR | $1.50 / 1000 transactions | $0.0015 |
+| Enhanced add-on features for Object Grounding | $1.50 / 1000 transactions | $0.0015 | 
+| Output Tokens      | 100 tokens (assumed)    | $0.003       |
+| **Total Cost** |  | $0.007 |
+
+
+### Example video price calculation
 
 > [!IMPORTANT]
 > The following content is an example only, and prices are subject to change in the future.

articles/active-directory-b2c/media/tutorial-create-tenant/create-a-resource.png

@@ -22,7 +22,7 @@ Use this article to get started using the Azure OpenAI Python SDK to deploy and
     Currently, access to this service is granted only by application. You can apply for access to Azure OpenAI by completing the form at https://aka.ms/oai/access. Open an issue on this repo to contact us if you have an issue. 
 - <a href="https://www.python.org/" target="_blank">Python 3.7.1 or later version</a>.
 - The following Python libraries: `os`
-- An Azure OpenAI Service resource with a GPT-4 Turbo with Vision model deployed. The resource must be in the `SwitzerlandNorth`, `SwedenCentral`, `WestUS`, or `AustraliaEast` Azure region. For more information about model deployment, see [the resource deployment guide](/azure/ai-services/openai/how-to/create-resource).
+- An Azure OpenAI Service resource with a GPT-4 Turbo with Vision model deployed. See [GPT-4 and GPT-4 Turbo Preview model availability](../concepts/models.md#gpt-4-and-gpt-4-turbo-preview-model-availability) for available regions. For more information about resource creation, see the [resource deployment guide](/azure/ai-services/openai/how-to/create-resource).
 - For Vision enhancement (optional): An Azure Computer Vision resource in the same region as your Azure OpenAI resource, in the paid (S0) tier.
 
 ## Set up 

articles/active-directory-b2c/media/tutorial-create-tenant/portal-02-create-tenant.png

@@ -18,7 +18,7 @@ Use this article to get started using the Azure OpenAI REST APIs to deploy and u
 - Access granted to Azure OpenAI in the desired Azure subscription. Currently, access to this service is granted only by application. You can apply for access to Azure OpenAI by completing the form at https://aka.ms/oai/access. Open an issue on this repo to contact us if you have an issue. 
 - <a href="https://www.python.org/" target="_blank">Python 3.7.1 or later version</a>.
 - The following Python libraries: `requests`, `json`.
-- An Azure OpenAI Service resource with a GPT-4 Turbo with Vision model deployed. The resource must be in the `SwitzerlandNorth`, `SwedenCentral`, `WestUS`, or `AustraliaEast` Azure region. For more information about model deployment, see [the resource deployment guide](/azure/ai-services/openai/how-to/create-resource).
+- An Azure OpenAI Service resource with a GPT-4 Turbo with Vision model deployed. See [GPT-4 and GPT-4 Turbo Preview model availability](../concepts/models.md#gpt-4-and-gpt-4-turbo-preview-model-availability) for available regions. For more information about resource creation, see the [resource deployment guide](/azure/ai-services/openai/how-to/create-resource).
 - For Vision enhancement (optional): An Azure Computer Vision resource in the same region as your Azure OpenAI resource, in the paid (S0) tier.
 
 > [!NOTE]

articles/ai-services/openai/concepts/gpt-with-vision.md

@@ -16,7 +16,7 @@ Start exploring GPT-4 Turbo with Vision capabilities with a no-code approach thr
 
 - An Azure subscription. <a href="https://azure.microsoft.com/free/ai-services" target="_blank">Create one for free</a>.
 - Access granted to Azure OpenAI in the desired Azure subscription. Currently, access to this service is granted only by application. You can apply for access to Azure OpenAI by completing the form at https://aka.ms/oai/access. Open an issue on this repo to contact us if you have an issue. 
-- An Azure OpenAI Service resource. The resource must be in the `SwitzerlandNorth`, `SwedenCentral`, `WestUS`, or `AustraliaEast` Azure region. For more information about resource creation, see the [resource deployment guide](/azure/ai-services/openai/how-to/create-resource).
+- An Azure OpenAI Service resource with a GPT-4 Turbo with Vision model deployed. See [GPT-4 and GPT-4 Turbo Preview model availability](../concepts/models.md#gpt-4-and-gpt-4-turbo-preview-model-availability) for available regions. For more information about resource creation, see the [resource deployment guide](/azure/ai-services/openai/how-to/create-resource).
 - For Vision enhancement (optional): An Azure Computer Vision resource in the same region as your Azure OpenAI resource, in the paid (S0) tier.
 
 > [!NOTE]

articles/ai-services/openai/includes/gpt-v-python.md

@@ -48,6 +48,11 @@ Here's an overview of the steps to create a custom neural voice in Speech Studio
 
 You can tune, adjust, and use your custom voice, similarly as you would use a prebuilt neural voice. Convert text into speech in real-time, or generate audio content offline with text input. You use the [REST API](./rest-text-to-speech.md), the [Speech SDK](./get-started-text-to-speech.md), or the [Speech Studio](https://speech.microsoft.com/audiocontentcreation).
 
+> [!TIP]
+> You can also use the Speech SDK and custom voice REST API to train a custom neural voice.
+> 
+> Check out the code samples in the [Speech SDK repository on GitHub](https://github.com/Azure-Samples/cognitive-services-speech-sdk/blob/master/samples/custom-voice/README.md) to see how to use personal voice in your application.
+
 The style and the characteristics of the trained voice model depend on the style and the quality of the recordings from the voice talent used for training. However, you can make several adjustments by using [SSML (Speech Synthesis Markup Language)](./speech-synthesis-markup.md?tabs=csharp) when you make the API calls to your voice model to generate synthetic speech. SSML is the markup language used to communicate with the text to speech service to convert text into audio. The adjustments you can make include change of pitch, rate, intonation, and pronunciation correction. If the voice model is built with multiple styles, you can also use SSML to switch the styles.
 
 ## Components sequence

articles/ai-services/openai/includes/gpt-v-rest.md

@@ -22,6 +22,9 @@ OpenAI text to speech voices are available via two model variants: `Neural` and
 - `Neural`: Optimized for real-time use cases with the lowest latency, but lower quality than `NeuralHD`.
 - `NeuralHD`: Optimized for quality.
 
+For a demonstration of OpenAI voices in Azure OpenAI Studio and Speech Studio, view this [introductory video](https://youtu.be/Ic505XeV3gs).
+> [!VIDEO https://www.youtube.com/embed/Ic505XeV3gs]
+
 ## Available text to speech voices in Azure AI services
 
 You might ask: If I want to use an OpenAI text to speech voice, should I use it via the Azure OpenAI Service or via Azure AI Speech? What are the scenarios that guide me to use one or the other?

articles/ai-services/openai/includes/gpt-v-studio.md

@@ -63,6 +63,9 @@ To get started, here's a summary of the steps to create a personal voice:
 
 Once you have a personal voice, you can [use it](./personal-voice-how-to-use.md) to synthesize speech in any of the 91 languages supported across 100+ locales. A locale tag isn't required. Personal voice uses automatic language detection at the sentence level. For more information, see [use personal voice in your application](./personal-voice-how-to-use.md).
 
+> [!TIP]
+> Check out the code samples in the [Speech SDK repository on GitHub](https://github.com/Azure-Samples/cognitive-services-speech-sdk/blob/master/samples/custom-voice/README.md) to see how to use personal voice in your application.
+
 ## Reference documentation
 
 > [!div class="nextstepaction"]