Showing tag results for AI

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 ...

Today we're thrilled to feature the preezie team on the Semantic Kernel blog. The preezie team will discuss their AI journey, how they've integrated the Semantic Kernel SDK to build out their AI solutions and advice they'd give to other customers getting started on their AI journeys. We've broken each question for the preezie team into short interv...

Today we're excited to announce the updated documentation on the Semantic Kernel learn site here: Introduction to Semantic Kernel | Microsoft Learn. We've updated the docs to include in depth samples, updated pages focused on concepts and much more for your learning! Key Enhancements: We've updated the table of contents and layout of the lear...

Today we want to highlight a recent Medium article published here: Step by Step guide to develop AI Multi-Agent system using Microsoft Semantic Kernel and GPT-4o | by Akshay Kokane | Jun, 2024 | Medium We've included a few excerpts below, but click here to read the full article. A Microsoft colleague, Akshay Kokane, details how to develop an AI ...

Today's we'd like to share a blog post from two members of the .NET team, Jordan Matthiesen and Luis Quintanilla, focused on Building Generative AI apps with .NET 8 - .NET Blog (microsoft.com). The future of AI is here, and .NET is ready for it! With .NET 8, you can create amazing applications that integrate language models in your new and exist...

Hello, everyone! In the fast-paced world of technology, using artificial intelligence to get more out of your data is becoming essential. Azure OpenAI on Your Data is a feature that helps businesses do just that. It combines the advanced AI models from OpenAI with the strong data management tools of Azure, allowing you to use AI with your own da...

Hello, everyone! Today, we are featuring a guest author from another team at Microsoft on our blog. Today’s topic will explore how we can build AI applications with ease using the Semantic Kernel and .NET Aspire. So, if you're excited about creating intelligent, scalable, and efficient apps, keep reading. Understanding Semantic Kernel and .NET Asp...

Today’s topic will cover a new LinkedIn Learning Course here: If you can code in .NET, you are an AI developer | LinkedIn Learning focused on Semantic Kernel Fundamentals. We are excited to welcome back José Luis Latorre Millás, an MVP for Microsoft focused on AI who worked on this to dive in further. From a Silver Light to Embracing the Kernel'...