Microsoft wants companies to build their own AI-powered “copilots” — using tools on Azure and machine learning models from its close partner OpenAI, of course. Microsoft defines a “copilot” as a ...

Nearly seven years after its debut as a preview, the Visual Studio Code extension for Azure Machine Learning has hit general availability. "You can use your favorite VS Code setup, either desktop or ...

Overview: Machine learning tools simplify and speed up AI development.Options include open-source frameworks and cloud AI ...

Machine Learning (ML) and Artificial Intelligence (AI) have become essential technologies across industries, automating tasks at a speed and scale far beyond human capabilities. However, building ...

Azure AI Studio offers users a comprehensive platform for developing and deploying generative AI applications. Providing a single-platform approach to building and deploying AI custom Copilots. As ...

Clinical and operational machine learning models are gaining ground at hospitals and health systems throughout the country, and new ones are evolving rapidly. But at this point, the challenge is not ...

Overview  GitHub repositories provide hands-on learning of real-world MLOps workflows.Tools like MLflow, Kubeflow, and DVC show how scaling and tracking wo ...

May 24, 2023, Hong Kong — Microsoft Build 2023, Microsoft’s annual flagship event for developers, showcased how AI is evolving and revolutionizing the way people work, communicate, and collaborate.

MLOps, or DevOps for those working with machine learning models, has seen a boom of interest in the last year, and that should come as no surprise: organizations want to bring more machine learning to ...

One of the best ways to reduce your vulnerability to data theft or privacy invasions when using large language model artificial intelligence or machine learning, is to run the model locally. Depending ...