Building AI Agents with Semantic Kernel

If 2023 was the year of AI chatbots, then 2024 may well be the year of the “agent”.

You might have looked at custom Copilots, and RAG (Retrieval Augmented Generation), but sometimes you need more.

You need to build an “agent”, an AI model that can combine multiple skills and perform tasks to achieve an objective.

There are a few tools for doing that, like LangChain and Semantic Kernel. In this talk, we’ll focus on the latter, which is ideally suited to work with the Microsoft technology stack, and the technology that lies behind many of the Copilots offered as part of Microsoft 365.

In this talk, we’ll look at the different options for building AI agents that go beyond RAG and Plugins and can perform complex processes.

We’ll see how to use the Semantic Kernel to go beyond generating text by combining language models with other tasks like calling APIs and executing processes.


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