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.
With my team, we like to keep our C# code base updated. So, recently we went to .NET 7 and C# 11. At the same time, we were still adopting some of the new capabilities of .NET 6 and C# 10. Our code base is large, so it takes some time. One of the new features that we planned to use was the ArgumentNullException.ThrowIfNull method, which throws an exception if an argument is null. In this post, I will show you how I effortlessly did that refactoring by letting the machine work and not the human 😁 (me). In the past, I used the same approach to migrate lots of code that used Assert.True() to Assert.That(, Is.True) and for some other even more complex cases. We will use ReSharper and Rider for that.
