
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.
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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.
Microsoft has put together several resources to help you get started. Whether you are ready to build your own copilot or you’re at the very beginning of your learning journey, read on to find the best and free resources from Microsoft on generative AI training.
Product level simulation models are routinely used in day-to-day decision making on design, reliability, and product features. Microsoft Azure HPC plays a vital role in enabling this vision for the Microsoft Surface team.
At the Migrate to Innovate digital event, you’ll learn how Azure provides an optimized platform to fully embrace AI while addressing your most pressing business priorities by maximizing ROI, performance, and resilience.
Our job at Microsoft is to help you understand how the AI era can benefit your organization and trust the AI solutions you deploy are done so safely and responsibly.
Today, we are announcing that Azure AI Search, a modern retrieval system for AI applications, now has drastically larger vector capacity and compute without any increase in price, so customers can run RAG at any scale, at a lower cost.
Fueling groundbreaking innovations, Azure AI infrastructure comprises of technology from NVIDIA, AMD, and our own AI accelerator, as we announced last November.
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.
Microsoft Azure has delivered industry-leading results for AI inference workloads amongst cloud service providers in the most recent MLPerf Inference results published publicly by MLcommons.