Showing archive results for 2024

We are happy to announce release of the new function-calling capabilities available in Semantic Kernel v1.20 (.NET). The new capabilities incorporates the best parts of the existing function-calling, such as ease of use, and improves on it by making it more extensible and reusable. Function calling allows Plugin descriptions to be passed into...

Many of you have asked similar questions: These are all excellent questions! They fundamentally belong to the same class of questions: How do I observe Semantic Kernel and, ultimately, my application? Introducing: Observability in Semantic Kernel Semantic Kernel is designed to be observable. It emits logs, metrics, and traces tha...

Today we're highlighting Semantic Kernel content created in Spanish here: 💥¡Crea un ChatGPT en tu equipo sin la nube! Con Ollama, Microsoft PHI-3 y Semantic Kernel💥 (youtube.com) Estamos destacando a Rodrigo Ezequiel Liberoff Vazquez, quien es Arquitecto Senior de Software Cloud en Encamina y ha creado videos de Semantic Kernel en español enfoca...

Introducing new Ollama Connector for Local Models  As a long-awaited feature we are happy to bring a dedicated Ollama Connector. In the core implementation of this connector, we are also using the Ollama Sharp library which allows you to manipulate some native Ollama APIs as well as using it with our connector for breaking glass scenarios (provide...

Introduction  With the latest launch of the Azure AI Inference SDK for Azure AI Studio Models Catalog, we are happy to announce that we have also made available our dedicated Azure AI Inference Semantic Kernel Connector.  This connector is specially designed on top of the published Azure AI Inference SDK and is targeted to allow easy access to ...

Today we're featuring a guest author, Jonathan David. He’s written an article we’re sharing below, focused on how to create Vision Buddy to empower visually impaired individuals using .NET and Semantic Kernel. We’ll turn it over to Jonathan to share more! Discover how this proof-of-concept leverages AI using .NET Semantic Kernel to provide vis...

Bring your AI Copilots to the edge with Phi-3 and Semantic Kernel Today we're featuring a guest author, Arafat Tehsin, who's a Microsoft Most Valuable Professional (MVP) for AI. He's written an article we're sharing below, focused on how to Bring your AI Copilots to the edge with Phi-3 and Semantic Kernel. We'll turn it over to Arafat to sha...

Semantic Kernel allows prompts to be automatically converted to ChatHistory instances. Developers can create prompts which include <message> tags and these will be parsed (using an XML parser) and converted into instances of ChatMessageContent. See mapping of prompt syntax to completion service model for more information. Currently it is...

Today we're featuring a guest author, Akshay Kokane, who's a Software Engineer at Microsoft within the Azure CxP team. He's written an article we're sharing below, focused on a Step-by-Step Guide to Building a Powerful AI Monitoring Dashboard with Semantic Kernel and Azure Monitor: Master TokenUsage Metrics and Custom Metrics using SK Filters. We'l...

One of the most exciting features available in certain Large Language Models (LLMs) is function-calling. In Semantic Kernel, we handle the heavy lifting so that you can bring your own code or utilize built-in plugins that cater to your use case. Our goal is to make it easy for you to incorporate function calling into your application. Today, we'll ...