Showing category results for Semantic Kernel

Today we're featuring an AI Microsoft Most Valuable Professional (MVP) who's been developing content on Semantic Kernel. We wanted to highlight Jamie Maguire's work and detail the multi-part blog below. Here's the link to his course: New Course: Understanding Semantic Kernel – Jamie Maguire https://jamiemaguire.net/index.php/2024/08/03/new-free-...

The term "agent" has become a popular term within the industry. There have many different definitions, but at their core, they consist of a system prompt (i.e., a persona), plugins, and an ability to automatically reason and create plans to address user goals. Up until today, we've demonstrated how you could use components of Semantic Kernel to ...

It feels like yesterday when we went live with v1.0+ of all our SDKs (Python, Java, and C#) at Microsoft Build. Since then, the Semantic Kernel team has been hard at work making Semantic Kernel even better. Now that we've made some progress, we'd like to share what we have planned over the next few months for Microsoft Ignite. To see everything ...

Microsoft announced the official OpenAI library for .NET at the Build 2024 conference. This new SDK ensures that .NET developers have parity with other programming language libraries when accessing Azure OpenAI models. This means the new SDK will be able to support the latest OpenAI features and models as soon as they come out, such as GPT4o and As...

Hello Java AI developers! We are announcing the release of Semantic Kernel for Java v1.2.0! Since our release of v1.0 this past May, we have been working to improve and expand the capabilities we provide. Today, we are thrilled to share the latest updates, new features, and experimental features with you. What’s New in Semantic Kernel for Java ...

We're excited to feature the SimCorp team on the Semantic Kernel blog today. The SimCorp team will discuss their AI journey and how they’ve integrated Semantic Kernel to build out their AI solutions. Let’s dive into the details from the SimCorp team! SimCorp Background: SimCorp was founded in 1971 and has continuously innovated to create an i...

Hello, everyone! AI planning is a powerful tool that allows to generate and execute complex workflows in applications based on specified goal. In Semantic Kernel, it's possible to implement planning logic using FunctionCallingStepwisePlanner class. Today we want to introduce a new way how to achieve the same results by using Automatic Function C...

Since the very earlier days of Semantic Kernel, we have shipped experimental “planners” that use prompts to generate multi-step plans. This was extremely powerful because it allowed developers to use LLMs (which were created to merely generate text) to begin automating business processes. Since then, the Semantic Kernel team has evolved its expe...

Hello! We are delighted to make an announcement regarding the availability of Azure AI Inference within Semantic Kernel (Python). This latest AI connector empowers you to experiment with a broader range of models hosted on Azure within your applications.   The Sample Application: Evaluating LLMs Here is the location of the full sample....

  Introducing Function Choice Behavior Today, we're excited to introduce the Function Choice Behavior, an enhancement over the existing Function Call Behavior. This new feature streamlines configuration and supports specifying multiple required functions, simplifying code and enhancing functionality. One significant advantage of Function ...