Introducing Phi-3: Redefining what’s possible with SLMs
We are excited to introduce Phi-3, a family of small open models with the capability of 10 times larger models, developed by Microsoft and optimized for Azure AI.
We are excited to introduce Phi-3, a family of small open models with the capability of 10 times larger models, developed by Microsoft and optimized for Azure AI.
Microsoft recently launched two accelerators for industrial transformation: Azure’s adaptive cloud approach and Azure IoT Operations. These accelerators will be on display at Hannover Messe 2024 from April 22 to April 26, 2024.
We recently published our Microsoft Azure: The State of AI Infrastructure report. This is the first-ever report of its kind, which discusses the opportunities and challenges associated with leveraging AI infrastructure.
In celebration of Women’s History Month, it’s an honor to shine a light on female leaders from Microsoft Azure AI customers who demonstrate that they are not just navigating—they’re also innovating in the realm of generative AI.
To help customers meet new AI quality and safety challenges, we’re announcing new tools now available or coming soon to Azure AI Studio for generative AI app developers.
Today, we are announcing a multi-year partnership between Microsoft and Mistral AI. We are fueled by a steadfast dedication to innovation and practical applications, bridging the gap between pioneering research and real-world solutions.
This month, I’m pleased to expand this blog’s scope and bring in what’s new for digital applications for a holistic look at everything we’re delivering to help customers modernize their data estate, build intelligent applications, and apply AI technologies to help achieve their business goals.
We are excited to announce that Microsoft Azure is recognized as a leader in the inaugural IDC MarketScape for AI Governance Platforms. IDC looked at AI governance platforms that ensure AI and machine learning lifecycle governance, collaborative risk management, and regulatory excellence for AI.
The enterprise development process requires collaboration, diligent evaluation, risk management, and scaled deployment. By providing a robust suite of capabilities supporting these challenges, Azure AI affords a clear and efficient path to generating value in your products for your customers.