Azure

When we use the Semantic Kernel SDK, we use plugins that act as the building blocks for our AI applications. Plugins essentially define the tasks that the kernel should complete, and the kernel interfaces with large language models and run the plugins we define. Plugins can include native code and natural language prompts, allowing us to use generative AI in our application. Plugins give us the flexibility of defining desired behavior in our application, and we can create custom prompt plugins to fine tune our applications precisely as we need to. ...

The Semantic Kernel SDK is an open-source SDK that allows developers to integrate large language models (also known as LLMs) in their applications. The Semantic Kernel SDK allows developers to integrate prompts to LLMs and results in their own applications. For example, say we’re developing a booking system for a medical clinic. Instead of creating a LLM from scratch, we can use the Semantic Kernel to use existing LLMs and create an AI agent that can understanding the natural language queries that our patients make, provide recommendations based on their queries, and book them in to appointments. ...

Azure OpenAI provides developers with the ability to add AI to their applications using a variety of different models from OpenAI. This includes GPT-4, GPT-4 Turbo with Vision, GPT-3.5-Turbo and Embedding models. We can add AI functionality to our applications using C#, Python or REST APIs. The Generative AI capabilities that are available in Azure OpenAI are provided through the models, which belong to different families. This article assumes that you already have access to Azure OpenAI. To use Azure OpenAI, you need to be approved. Luckily for me, my work already has a resource for me to use. If you haven’t got one, check out this guide to get started. ...

I’m studying for my CKAD exam, so this article is serving as a reference for me to cover the core concepts in that exam. This article will cover Pods, Namespaces, the kubectl CLI tool, and how we can use it to create objects in Kubernetes. Kubernetes Primitives These are the basic building blocks in Kubernetes for building and operating applications that you host on it. These could include Pod, Deployments, Services etc ...

Kubernetes provides reliable scheduling of fault-tolerant application workloads, and is ideal for container orchestration. AKS is a managed Kubernetes platform on Azure, which makes this simpler for us manage our container workloads. In this blog post, I’ll talk about the main components of Azure Kubernetes, such as control plane nodes, node pools, pods, deployments etc. I’ll also talk about how we can configure network access in AKS, and how we can monitor our AKS clusters. ...