ChatGPT- What? Why? And How?
This blog discusses ChatGPT, a pre-trained language model that has garnered significant attention in the AI community due to its innovative capabilities. It explores the technology behind ChatGPT, its purpose, function, and utilization, as well as its potential applications and impact on the field of artificial intelligence. This blog also covers the limitations of ChatGPT and its architecture and working, including the use of advanced machine learning techniques such as Transformer and fine-tuning.Advanced Time Series Anomaly Detector in Fabric
Anomaly Detector, one of Azure AI services, enables you to monitor and detect anomalies in your time series data. This service is being retired by October 2026, and as part of the migration process the anomaly detection algorithms were open sourced and published by a new Python package and we offer a time series anomaly detection workflow in Microsoft Fabric data platform.Frictionless Collaborative Analytics and AI/ML on Confidential Data
Secure enclaves protect data from attack and unauthorized access, but confidential computing presents significant challenges and obstacles to performing analytics and machine learning at scale across teams and organizational boundaries. In this article, we'll explore the Opaque platform and describe how it can enable multiple parties to easily collaborate and analyze shared data while keeping it fully confidential.
Confidential Data Clean Rooms – The evolution of sensitive data collaboration
Secure data collaboration between multiple parties has the potential to revolutionize societies, businesses and industries for the better. Collaborating on sensitive data assets facilitates innovation to unlock new value for organizations.GPU compute within Windows Subsystem for Linux 2 supports AI and ML workloads
Adding GPU compute support to WSL has been our #1 most requested feature since the first release. Over the last few years, the WSL, Virtualization, DirectX, Windows Driver, Windows AI teams, and our silicon partners have been working hard to deliver this capability.
