I've been trying to wrap my head around function/tool calling for a while now, and I'm excited to share what I've learned with you. It's a powerful way to let developers integrate advanced AI features directly into their applications. We'll walk through understanding the core concepts, setting up your environment, and implementing a practical example using a C# source generator.

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!

C# 12 is the latest, just released, version of the popular programming language that runs on the .NET 8 platform. It introduces several new features that aim to improve the expressiveness, performance, and safety of the language. In this post, we will explore some of these features and see how they can benefit your code.

My previous blog posts talks about built-in container support in the .NET SDK. It allows you to create and publish Docker images for your .NET applications without writing any Dockerfile. I also showed how to use the Chiseled Ubuntu base images optimized for .NET and containers. We saw how to publish your Docker images using the .NET SDK to GitHub Packages / Container Registry.

Today, I want to show you how to publish your Docker images using the .NET SDK to GitHub Container Registry using GitHub Actions. It brings us to the next level of automation.