![]() Foundation models are powerful and highly capable pretrained models that organizations can customize with their own data for their own purposes and roll out as needed.įoundation models are becoming quite important, as they can help organizations build non-trivial ML-powered applications, shaped to their specific requirements, without having to spend hundreds of millions of dollars training the models from scratch or offloading processing and sensitive customer data to the cloud. Redmond also is making foundation models in Azure Machine Learning available in public preview. Now a collection of thousands of these models will appear Redmond's Azure Machine Learning catalog so that customers can access and deploy them on managed endpoints in Microsoft's cloud. Hugging Face already offers a curated set of tools and APIs as well as a huge hub of ML models to download and use. At Build, the pair of organizations expanded their relationship. Microsoft last year partnered with Hugging Face to bring Azure Machine Learning endpoints powered by the open-source company's technology. Unsurprisingly, open-source tools are increasingly coming into the AI space. ![]() Microsoft finally gets around to supporting rar, gz and tar files in Windows.Microsoft enables booting physical PCs directly into cloud PCs.Think inside the Dev Box: Microsoft to roll out code environment this July.Microsoft shoe-horns AI assistant into Windows 11, Power BI, Analytics and more.Azure Linux released – and Microsoft revealed why it did not fork Fedora.Microsoft offers electrical engineers a lifeline as it pursues custom cloud silicon.Microsoft would rather spend money on AI than give workers a raise.Microsoft's Copilot AI to pervade the whole 365 suite.Microsoft can't stop injecting Copilot AI into every corner of its app empire.Microsoft injects AI search into Bing, Edge, Skype apps.AI Enterprise in Azure Machine Learning is also available in limited technical preview. The same day, Microsoft made Azure Machine Learning registries – a platform for hosting and sharing such machine-learning building blocks as containers, models and data and a tool for integrating AI Enterprise into Azure – generally available. Specifically, Microsoft is integrating Nvidia's AI Enterprise suite of software, development tools, frameworks, and pretrained models into Azure Machine Learning, creating what Tina Manghnani, product manager for the machine learning cloud platform, called "the first enterprise-ready, secure, end-to-end cloud platform for developers to build, deploy, and manage AI applications including custom large language models."
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