This post demonstrates how to create an Azure DevOps Copilot that utilizes a small subset of the Azure DevOps REST API. To achieve this, we will be using Semantic Kernel along with .NET 8 and Azure OpenAI.

The purpose of this post is to demonstrate how easy is to build a basic Q&A app capable of answering questions about your company’s internal documents. This time, we will use only AWS services to build it (plus Streamlit for the user interface).

This post demonstrates the simplicity of developing an app that can enhances a C# file using only GenAI’s basic skills. By utilizing Azure OpenAI GPT-4 model, the app can effortlessly add or improve XML comments, provide code explanations, suggest enhancements, and generate unit tests for any given C# file.

The purpose of this post is to show you how to build a basic GPT-4 Q&A app in just a couple of hours that is capable of answering questions about your company’s internal documents. We will use Azure OpenAI, Pinecone and Streamlit to build it.

This post is going to show you a simple way of building a serverless Python API that uses LangChain and Azure OpenAI to create tweets summarizing the content of my blog posts.