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As the technology advances, Generative AI models are becoming powerful enough to operate autonomously to automate tasks. This is improvement on being able to perform simple tasks in “chat” like applications. This allows us to build AI Agents, which are applications that can use generative AI models with contextual data to automate tasks based on user input and the context that they can perceive. In this article, I’ll talk about how we can build AI Agents using Azure AI Agent service. ...

I’ve lived in Melbourne for almost two years now, and throughout that time I’ve been trying to get my head around Australian rules, or AFL. I live pretty close to where Carlton Football Club train, so I’ve decided to support them (or as the Australians say “Go for them” 🤷). The more I learn about the game, the more I’m realizing that I may have set myself up for a lifetime of pain and dissappointment, but being an Arsenal fan since I was 6, I’m more than prepared for it 😂 ...

I’m making a conscious effort to deepen my knowledge on Semantic Kernel, and I just want an easy way to access LLMs and SLMs without having to go through Azure OpenAI (and pay for it). GitHub Models provides a number of AI models that you can use to build GenAI applications, particularly within Semantic Kernel. Semantic Kernel provides a lightweight framework for us to build AI applications and agents that use LLMs and other cloud services. Using Semantic Kernel, we can define workflows, apply reasoning over LLM outputs, and create complex AI workflows. ...

In this article, I’m going to show you how to deploy an AKS Automatic Cluster within your own custom virtual network using Bicep. An Azure Subscription A code editor - I’m using Visual Studio Code! The AZ CLI kubectl A bash shell (VS Code has an integrated terminal, Windows terminal is also pretty neat) If you don’t know what AKS Automatic is, we’ll cover that before we start. We’ll then work through the Bicep code that we need to provision a cluster with our own virtual network. ...

In this article, I’m going to show you how to build an Azure Kubernetes Service lab environment with Bicep. This sample was inspired by this AKS Lab provided by the AKS team! [!NOTE] If you want to see a live demo of this instead, check it out on my YouTube channel! We’re going to build the lab environment step by step using Bicep. Wherever possible, we will avoid creating resources using the AZ CLI, and instead take an opinionated approach to defining our infrastructure declaratively with Bicep instead. We will still need to use the AZ CLI to do some tasks, such as deploying our resources. ...