Showing category results for Announcement

세계로 뻗어갑니다: "G3J Learn Semantic Kernel" 쇼 – 한국어로 배우는 Semantic Kernel! 최근 빠르게 변화하는 기술 환경에서 개발자들은 지능형 애플리케이션을 구축하기 위한 최신 도구와 프레임워크를 지속적으로 탐색하고 있습니다. 이러한 요구에 맞춰 Microsoft는 자연어 처리와 데이터를 효과적으로 결합한 강력한 프레임워크, Semantic Kernel을 제공합니다. 저희는 최근 Let's Learn .NET 쇼를 통해 Microsoft Learn 모듈의 Semantic Kernel을 성공적으로 방송했습니다. 특히 이번 쇼는 영어 외에도 다양한 언어로 방송하며 전 세계...

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...

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...

Update: We have released a new NuGet Gallery | Microsoft.SemanticKernel 1.18.1-rc release candidate which has been updated to depend on NuGet Gallery | OpenAI 2.0.0-beta.10 and NuGet Gallery | Azure.AI.OpenAI 2.0.0-beta.3. Today we are announcing that support for Azure.AI.OpenAI and OpenAI v2 .NET SDK is available in the Semantic Kernel v1.18.0-...

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 ...

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 ...

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...