Microsoft is thrilled to announce the launch of GPT-4o, OpenAI’s new flagship model, now available with Azure AI in preview. This groundbreaking multimodal model integrates text, vision, and audio capabilities,…
Azure Machine Learning data collector provides real-time logging of input and output data from models that are deployed to managed online endpoints or Kubernetes online endpoints. Azure Machine Learning stores…
Three features now available in GA enable you to seamlessly log inference data to a central location, set up event-driven applications, processes, or workflows based on Azure Machine Learning events,…
Today, many organizations lack the resources to stress test their generative AI application so they can confidently progress from prototype to production. First, it can be challenging to build a…
Model monitoring is a critical step in the machine learning lifecycle. Azure Machine Learning customers can use model monitoring, now generally available, to track model performance in production, better-understand model…
Three features now available in public preview enable you to choose which models/datasets are right for you without having to run any job, seamlessly read/write data from a Fabric datastore;…
Five features now available in GA enable you to search thousands of OSS LLMs, provide a feature set specification and let the system handle the rest, and lower. compute management…
Microsoft Copilot for Azure is now in preview. With Copilot for Azures users can gain new insights into their workloads, unlock untapped Azure functionality and orchestrate tasks across both cloud…
Three features now available in GA enable you to streamline your network isolation experience, deploy your model locally prior to production, and automate the ML lifecycle without accruing extra compute…
Environment Support on Compute Instance: You can now use the same image when running a full job on a cluster or an experiment on a compute instance. Model Packaging (v2):…