What better way to learn about cutting-edge AI than creating a "copilot" assistant that can act as a mixologist, suggesting new cocktail recipes based on available ingredients? A mixologist example is ...

Semantic Kernel is a model-agnostic SDK that empowers developers to build, orchestrate, and deploy AI agents and multi-agent systems. Whether you're building a simple chatbot or a complex multi-agent ...

This repository shows how to use Microsoft Semantic Kernel together with Azure OpenAI (Agents) and Bing Search Grounding to retrieve web results and ground LLM responses. Note: Authentication for the ...

With recent advances in agentic AI, Microsoft is revamping its related dev tooling, combining the capabilities of the discrete properties Semantic Kernel and AutoGen to offer the new open-source ...

Back in the early 1990s, I worked in a large telecoms research lab, as part of the Advanced Local Loop group. Our problem domain was the “last mile”—getting services to peoples’ homes. One of my ...

At the heart of Microsoft’s AI application development strategy is Semantic Kernel, an open source set of tools for managing and orchestrating AI prompts. Since its launch as a way to simplify ...

Microsoft this week announced Semantic Kernel, a new open source framework on GitHub at the early preview stage that aims to help developers tap artificial intelligence (AI) and large language models ...