At Microsoft, we’re expanding AI capabilities by training small language models to achieve the kind of enhanced reasoning and comprehension typically found only in much larger models.| Microsoft Research
For an optimal mobile viewing experience, use landscape mode. Since we first announced the new consumer Copilot in October, we have loved seeing the ways people have made Copilot their own. It has helped people think through their ideas and get a fresh perspective, has made it less overwhelming to find the right information, and| Microsoft Copilot Blog
Global trends in internet traffic, data centres workloads and data centre energy use, 2010-2020 - Chart and data by the International Energy Agency.| IEA
Dive deeper into the technology and journey of developing Azure Maia 100, optimized for Microsoft Azure AI infrastructure. Read here.| Microsoft Azure Blog
AI agents take the power of generative AI a step further by working alongside you or even on your behalf, and they can be built and used by anyone.| Source
Microsoft is building datacenters made with CLT to slash the use of steel and concrete and significantly reduce the embodied carbon footprint.| Source
Updated Dec. 9, 2024: The number of individuals Microsoft helped train and certify over the past year has been updated to 23 million and includes initiatives across Microsoft. In 2024, generative AI emerged as a key driver for business outcomes across every industry. Already this new generation of AI is having an incredible impact on...| The Official Microsoft Blog
We’re living through a technological paradigm shift. In a few short years, our computers have learned to speak our languages, see what we see and hear what we hear. Yet technology for its own sake counts for nothing. What matters is how it feels to people and what impact it has on societies. It’s about...| The Official Microsoft Blog
A series of SLMs offer many of the same capabilities found in LLMs but are smaller in size and are trained on smaller amounts of data.| Source
Microsoft unveils two custom chips, new industry partnerships and a systems approach to Azure hardware optimized for internal and customer workloads| Source
Explore how Microsoft is committed to responsible AI practices and advancing AI technology with ethical principles.| www.microsoft.com
