Dynamic AI planners are a useful tool when you are not sure what type of asks are going to come in from your users. Let's learn how you can use planners in the Java kernel. In my previous blog on using the Java kernel, on Step #5 I explained how to use multiple Plugins and their Functions one after another. In this post, I will show you an exa...
Welcome to the third and final blog post in this series about Semantic Kernel Planners. In the previous blogs we touched on discussed the action planner and sequential planner. In this blog we will discuss Semantic Kernal's latest generation of planner called Stepwise Planner. The Stepwise Planner is a powerful planning object based on a neuro...
We've heard from many in the community who want to use Semantic Kernel to query their relational database using natural language expressions. We are excited to share this sandbox that enables you explore the capabilities of LLM to generate SQL queries (or SELECT statements): NL2SQL. This has been an area of interest for years (WikiSQL, Spider, et...
Have you wondered how you can use plugins with Semantic Kernel? Or maybe you want to use plugins for your own co-pilot chat app just like our sample app? Well, I have answers for you. I will guide you an example that uses Semantic Kernel with a GitHub Open API plug-in to build a console chat experience using action planner and a chat completio...
Have you ever wished you could access Jira data and functionality from within your chat conversations? Do you want to make your chat interactions more productive, collaborative, and intelligent? If so, you will love the new Jira connector feature in Copilot chat starter app. In this blog post, we will show you how you can use Jira connector to co...
We are thrilled to announce the integration of Semantic Kernel with Hugging Face models! With this integration, you can leverage the power of Semantic Kernel combined with accessibility of over 190,000+ models from Hugging Face. This integration allows you to use the vast number of models at your fingertips with the latest advancements in Sema...
Semantic Kernel Chat Copilot We're excited to introduce Semantic Kernel's Chat Copilot sample app! With this app, developers can easily build their own chatbot using advanced features such as natural language processing, speech recognition, and file uploading. By leveraging LLM-based AI, you can make the chat smarter with your own up-t...
Adam Hurwitz recently shared a popular blog post about using Semantic Kernel to chat with the Microsoft 10-K, which can be extended to any other 10-K document that you like. As a seasoned pro in the space of Financial Services applications, Adam's hands-on experience with LLM AI is indicative of how each industry vertical is on the brink of ext...
Semantic Kernel (SK) is a lightweight SDK that lets you mix conventional programming languages, like C# and Python, with the latest in Large Language Model (LLM) AI “prompts” with prompt templating, chaining, and planning capabilities. Its Planner Skill allows users to create and execute plans based on semantic queries. Recently, the addition ...
