Explore AI models: Key differences between small language models and large language models
Explore different functions, features, use cases, and limitations of both SLMs and LLMs.
Generative AI
Generative AI applications take in natural language input, and return appropriate responses in a variety of formats such as natural language, images, or code.
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German ingenuity meets the power of AI to shape the future of industries
Germany’s advancing AI capabilities have been supported by significant investments and partnerships, with Microsoft playing a pivotal role. -
More value, less risk: How to implement generative AI across the organization securely and responsibly
The technology landscape is undergoing a massive transformation, and AI is at the center of this change. -
AI safety first: Protecting your business and empowering your people
Microsoft has created some resources like the Be Cybersmart Kit to help organizations learn how to protect themselves. -
5 key features and benefits of large language models
Large language models (LLMs) offer significant benefits across various industries by automating and enhancing numerous tasks involving natural language processing -
How Mexico is pioneering AI innovation for a global future
Recently, the Microsoft AI Tour event in Mexico City highlighted the variety of ways in which AI is enabling Mexico to become a premier innovation hub. -
3 ways social impact organizations can leverage AI to transform outcomes at scale
We are supporting nonprofits through technology, and particularly by leveraging Azure AI, to deepen their impact in three significant ways. -
3 key features and benefits of small language models
Bigger is not always necessary in the rapidly evolving world of AI, and that is true in the case of small language models (SLMs). -
Microsoft Partner Blog
IDC study on partner profitability with Microsoft AI
To help partners better understand the value AI can unlock, Microsoft commissioned a global study through IDC, titled “Microsoft Partners: Driving Economic Value and AI Maturity. -
Microsoft Source
Measurement is the key to helping keep AI on track
This new approach to measurement, or defining and assessing risks in AI and ensuring solutions are effective, looks at both social and technical elements of how the generative technology interacts with people. -
All in on AI: Exploring Microsoft’s AI journey through customer service
Our customer service teams are using AI solutions like Microsoft Copilot to focus on the most meaningful parts of their jobs. -
Microsoft Source
Smart ways students are using AI
Generative AI is opening up all sorts of new avenues for learning, from personalized tutoring to study guides.