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.
AI resources
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A strategic approach to assessing your AI readiness
We’ve created a new AI Readiness Wizard to help you get started in evaluating your preparedness. -
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 -
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). -
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. -
Get AI ready: Build skills with Microsoft Learn
A skills-first approach to AI leads to skill building for every role, with Microsoft Learn as a trusted partner. -
The AI Strategy Roadmap: Navigating the stages of value creation
The AI Strategy Roadmap shares what Microsoft has learned about the emerging best practices that organizations are using to create sustainable value with AI.