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  2. Azure Cognitive Services learns more languages - AOL

    www.aol.com/news/azure-cognitive-services-learns...

    With this update, the Cognitive Services Speech Service, the unified Azure API for speech-to-text, text-to-speech and translation, is coming to 27 new locales, and the company promises a 20% ...

  3. Microsoft Learn - Wikipedia

    en.wikipedia.org/wiki/Microsoft_Learn

    Microsoft Learn is a library of technical documentation and training for end users, developers, and IT professionals who work with Microsoft products. Microsoft Learn was introduced in September 2018. [1] In 2022, Microsoft Docs, the technical documentation library that had replaced MSDN and TechNet in 2016, was moved to Microsoft Learn. [2] [3]

  4. Microsoft Azure - Wikipedia

    en.wikipedia.org/wiki/Microsoft_Azure

    Microsoft Azure uses large-scale virtualization at Microsoft data centers worldwide and offers more than 600 services. [11] Microsoft Azure offers a service level agreement (SLA) that guarantees 99.9% availability for applications and data hosted on its platform, subject to specific terms and conditions outlined in the SLA documentation.

  5. Azure Cognitive Search - Wikipedia

    en.wikipedia.org/wiki/Azure_Cognitive_Search

    azure.microsoft.com /en-us /services /search / Microsoft Azure Cognitive Search , formerly known as Azure Search , is a component of the Microsoft Azure Cloud Platform providing indexing and querying capabilities for data uploaded to Microsoft servers.

  6. Microsoft Translator - Wikipedia

    en.wikipedia.org/wiki/Microsoft_Translator

    Microsoft Translator or Bing Translator is a multilingual machine translation cloud service provided by Microsoft.Microsoft Translator is a part of Microsoft Cognitive Services [1] and integrated across multiple consumer, developer, and enterprise products, including Bing, Microsoft Office, SharePoint, Microsoft Edge, Microsoft Lync, Yammer, Skype Translator, Visual Studio, and Microsoft ...

  7. Large language model - Wikipedia

    en.wikipedia.org/wiki/Large_language_model

    A large language model (LLM) is a type of machine learning model designed for natural language processing tasks such as language generation. LLMs are language models with many parameters, and are trained with self-supervised learning on a vast amount of text.