In my previous post, we saw how to build the simplest Semantic Kernel local AI agent using Semantic Kernel and Ollama in C#. In this short post, we will see how simple it is to extend the capabilities of the Semantic Kernel local AI agent by adding function calling.
The recent release of Microsoft's Semantic Kernel Agents Framework RC1 provides an excellent opportunity to explore its capabilities with C#. In this post, we'll walk through creating a simple agent using this framework and running it locally with Ollama.
Let's dive in!
Microsoft recently unveiled Phi-3, the latest iteration of their Small Language Model (SLM). And hot on its heels is Ollama, a powerful tool that enables you to run SLMs and LLMs right on your own machine.
Excited to dive in? In this guide, I'll show you how to harness the power of Phi-3 and Ollama using C# and Semantic Kernel. I'll walk you through the process of creating a simple console application to get you started on your SLM journey.
So, let's get coding and unlock the potential of Phi-3 and Ollama on your machine!
