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articles/ai-services/language-service/summarization/includes/regional-availability.md

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> [!IMPORTANT]
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> One preview region, Sweden Central, showcases our latest and continually evolving LLM fine tuning techniques, where all summarization capabilities are available. We welcome customers to join our early adopter community by filling out the [access request form](https://aka.ms/applyforgatedsummarizationfeatures). Your valuable feedback is vital to our continuous enhancement.
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> Our preview region, Sweden Central, showcases our latest and continually evolving LLM fine tuning techniques based on GPT models. You are welcome to try them out with a Langauge resource in the Sweden Central region.
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>
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> Conversation summarization is only available using:
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> - REST API
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> - Python
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> - C#
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> - C#

articles/ai-services/responsible-use-of-ai-overview.md

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## Azure AI Vision - Spatial Analysis
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* [Transparency note and use cases](/legal/cognitive-services/computer-vision/transparency-note-spatial-analysis?context=/azure/ai-services/computer-vision/context/context)
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* [Characteristics and limitations](/legal/cognitive-services/computer-vision/accuracy-and-limitations?context=/azure/ai-services/computer-vision/context/context)
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* [Responsible use in AI deployment](/legal/cognitive-services/computer-vision/responsible-use-deployment?context=/azure/ai-services/computer-vision/context/context)
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* [Disclosure design guidelines](/legal/cognitive-services/computer-vision/disclosure-design?context=/azure/ai-services/computer-vision/context/context)
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* [Research insights](/legal/cognitive-services/computer-vision/research-insights?context=/azure/ai-services/computer-vision/context/context)

articles/ai-services/translator/custom-translator/overview.md

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The secure [Custom Translator](https://portal.customtranslator.azure.ai) portal enables users to upload training data, train systems, test systems, and deploy them to a production environment through an intuitive user interface. The system will then be available for use at scale within a few hours (actual time depends on training data size).
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[Custom Translator](https://portal.customtranslator.azure.ai) can also be programmatically accessed through a [dedicated API](https://custom-api.cognitive.microsofttranslator.com/swagger/). The API allows users to manage creating or updating training through their own app or webservice.
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[Custom Translator](https://portal.customtranslator.azure.ai) can also be programmatically accessed through a dedicated API. The API allows users to manage creating or updating training through their own app or webservice.
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The cost of using a custom model to translate content is based on the user's Translator Text API pricing tier. See the Azure AI services [Translator Text API pricing webpage](https://azure.microsoft.com/pricing/details/cognitive-services/translator-text-api/)
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for pricing tier details.

articles/app-service/app-service-hybrid-connections.md

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articles/app-service/configure-custom-container.md

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Secure Shell (SSH) is commonly used to execute administrative commands remotely from a command-line terminal. In order to enable the Azure portal SSH console feature with custom containers, the following steps are required:
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1. Create a standard [sshd_config](https://man.openbsd.org/sshd_config) file with the following example contents and place it on the application project root directory:
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1. Create a standard `sshd_config` file with the following example contents and place it on the application project root directory:
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```
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Port 2222

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