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AI Explained – Stories – Microsoft

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AI basics
Large AI Models
Researchers at Microsoft and elsewhere are making progress on developing large AI systems that can process information in more sophisticated ways. The recent explosion of training data, coupled with large amounts of fast compute facilitated by the cloud, has enabled new applications of neural network architectures that have allowed us to train large AI models that can accomplish a wide variety of tasks at an unprecedented scale. We’ve used our supercomputer infrastructure to train state-of-the-art AI models, including Turing for rich language understanding, Z-Code and Z-Code++ for translation and summarization across hundreds of languages, and Florence for visual recognition. OpenAI also used Microsoft infrastructure to train GPT, DALL-E and Codex.
However, these models are only valuable if they are accessible and cost-effective for others to use them and build on top of them, so we’re working to make AI technology more efficient, in both training and application. We’ve made advances with DeepSpeed, for training efficiency, and ONNX Runtime, which gives high-performance inference support for large Transformer-based models, helping to optimize cost and latency.
It’s our goal to responsibly advance cutting-edge AI research and democratize these AI models as a new technology platform. Microsoft is already using these models in a broad range of scenarios across our services like Bing, Office, Dynamics 365, Power Platform, GitHub and LinkedIn. Now, we’re making these transformational capabilities, built on cutting-edge advancements in AI, available for organizations to build upon and customize through Azure AI.
Our approach to deployment/development
We’re optimistic about AI’s potential to foster innovation, create economic progress, and accelerate productivity, satisfaction, and growth. Microsoft has been working for years to advance the field of AI, and also publicly guide how these technologies are created and used on our platforms in responsible and ethical ways. It’s our goal to democratize breakthroughs in AI, including large language models, in a responsible way, to help people and organizations be more productive, and go on to solve the most pressing problems our society faces today. Last year we shared an update on our Microsoft’s Responsible AI Standard, a framework to guide how we build AI systems. We’re committed to sharing what we have learned, invite feedback from others, and continue to contribute to the broader discussion about building better norms and practices around AI. We also believe in intentional and iterative deployment, which means we’re committed to taking the time to understand potential harms, working to mitigate them, and ongoing monitoring to ensure our standards continue to be met. For example, we took a measured approach to release Microsoft Designer, Bing Image creator, and Azure OpenAI service, which allow us to gather feedback, apply learnings and improve the experience before expanding further.

Our work with OpenAI
Microsoft and OpenAI have partnered closely since 2019 to accelerate breakthroughs in AI, forming our partnership around a shared ambition to responsibly advance cutting-edge AI research and democratize AI as a new technology platform.
Through our initial investment and collaboration, Microsoft and OpenAI pushed the frontier of cloud supercomputing technology, announcing our first top-5 supercomputer in 2020 and subsequently constructing multiple AI supercomputing systems at massive scale. OpenAI has used this infrastructure to train its breakthrough models, which are now deployed in Azure to power category-defining AI products like GitHub Copilot, DALL·E 2 and ChatGPT. As OpenAI’s exclusive cloud provider, Azure powers all OpenAI workloads across research, products and API services. We’ve also increased our investments in the development and deployment of specialized supercomputing systems to accelerate OpenAI’s groundbreaking independent AI research and have continued to build out Azure’s leading AI infrastructure to help customers build and deploy their AI applications on a global scale.
We deploy OpenAI’s models across our consumer and enterprise products, including GitHub Copilot,  DALL·E 2 in Microsoft Designer and Bing Image Creator, and PowerApps Ideas, and through Azure OpenAI Service, which empowers organizations and developers to build cutting-edge AI applications through direct access to OpenAI models backed by Azure’s trusted, enterprise-grade capabilities and AI-optimized infrastructure and tools.
These innovations have captured imaginations and introduced large-scale AI as a powerful technology platform that we believe will create transformative impact at the magnitude of the personal computer, the internet, mobile devices and the cloud.
Underpinning all of our efforts is Microsoft and OpenAI’s shared commitment to building AI systems and products that are trustworthy and safe. OpenAI’s leading research on AI Alignment and Microsoft’s Responsible AI Standard not only establish a leading and advancing framework for the safe deployment of our own AI technologies, but will also help guide the industry toward more responsible outcomes.
We’ll continue to work with OpenAI to explore solutions that harness the power of AI and advanced natural language generation, and we’re excited for future collaboration together.
Future of work
We believe that AI is going to be the ultimate amplifier. It will augment the work that people do by freeing up time for more creativity, imagination, and human ingenuity – leading to not only an increase in productivity, but satisfaction. We’re just scratching the surface on the power of these large language models. Building on the success of GitHub Copilot, we envision a world where everyone, no matter their profession, can have a copilot for everything they do.
Microsoft is focused on responsibly creating AI that enables people to achieve greater productivity, growth, and satisfaction in the work they do. When people are freed from repetitive or tedious tasks, they can tap into their human ingenuity to focus on more strategic or creative tasks.
As AI systems evolve, we expect the nature of some jobs will change, and that new jobs will be created. These shifts are similar to the changes we’ve seen with other major technological advances such as the invention of the printing press, telephone or the internet.
We expect this shift will require new ways of thinking about skills and training to ensure that workers are prepared for the future and that there is enough talent available for critical jobs.
To help people get the training and skills they need to thrive in today’s economy and prepare for the future, Microsoft is focusing on three areas:
While we can’t say with certainty how the job market will be impacted by AI, we are committed to developing this technology responsibly with an understanding of its impact on society.
AI and education
We fundamentally believe that AI will not only amplify what people can do, but also inspire curiosity and creativity to explore new applications. As with any new paradigm shift in technology or advent of new tools, we’ll need to have conversations about how to best incorporate these technologies into areas like education and help students be able to use these tools critically. As adoption of this technology increases, we are committed to ensuring its benefits are shared equitability across society, institutions and organizations
AI offers significant opportunities in education, for example offering the prospect of a personal digital tutor to every child, helping democratize access to high-quality education. It can help children advance critical thinking and creative expression and also assist teachers in developing creative new ways to engage children as it frees them from administrative and repetitive tasks. Like any new advancements, teaching will have to modify current practices to mitigate risks and ensure that children are able to realize the benefits of AI technology.  We will have to help children learn new skills to engage with new technology, helping them develop the ability to ask the right questions and use AI to communicate in more efficient and effective ways.
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