Sustainable by design: Innovating for energy efficiency in AI, part 2
In this blog, I’d like to share a few examples of how we’re bringing promising efficiency research out of the lab and into commercial operations.
To truly harness the power of generative AI, customization is key. In this blog, we share the latest Microsoft Azure AI updates.
In this blog, I’d like to share a few examples of how we’re bringing promising efficiency research out of the lab and into commercial operations.
In 2012, a child’s drawing of her appointment with a physician was published in the Journal of the American Medical Association (JAMA). In the brightly colored sketch, the girl is sitting on the exam table accompanied by her mother and siblings. To those of us working in healthcare, her doctor is the most notable part
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Bigger is not always necessary in the rapidly evolving world of AI, and that is true in the case of small language models (SLMs).
Successful sales is and always will be about human interactions, and the building of familiarity, comfort, and trust. But getting to those moments—all the searching and compiling and preparation—can take a lot of drudgery. Ensuring that an entire team of sellers has the time and capacity to strengthen those human relationships can be an enormous feat.
Get a firsthand look at the latest capabilities we are bringing to the Microsoft Fabric platform.
As AI advances, we all have a role to play to unlock AI’s positive impact for organizations and communities around the world. That’s why we’re focused on helping customers use and build AI that is trustworthy, meaning AI that is secure, safe and private. At Microsoft, we have commitments to ensure Trustworthy AI and are
We are introducing Wave 2 of Microsoft 365 Copilot innovation, with three key updates. From enterprises to small businesses, they help Copilot get better every day. Nearly 1,000 customers have given us direct feedback on Copilot, and we’ve made more than 700 product updates based on that feedback.
We are excited to add OpenAI’s newest models o1-preview and o1-mini to Azure OpenAI Service, Azure AI Studio, and GitHub Models.
Read some examples of how we’re advancing the power and energy efficiency of AI.
Together with Oracle, we’re announcing upgrades to Oracle Database@Azure.
When Hanna Wallach first started testing machine learning models, the tasks were well-defined and easy to evaluate. Did the model correctly identify the cats in an image? Did it accurately predict the ratings different viewers gave to a movie? Did it transcribe the exact words someone just spoke? But this work of evaluating a model’s