Showing archive results for 2024

The Semantic Kernel Agent Framework revolutionizes how developers can interact with Large Language Models (LLMs) by embedding dynamic, multi-step agents into their applications. By combining the power of LLMs with structured programming, the framework allows developers to build intelligent systems that can autonomously carry out tasks, reason based...

We are thrilled to announce the launch of Microsoft.Extensions.AI for .NET! Our collaboration with the .NET team since the debut of Semantic Kernel has resulted in a powerful new feature that aligns with the best practices of both current and upcoming .NET releases. With the introduction of Microsoft.Extensions.AI, Independent Software Vendors (...

During our internal Microsoft Hackathon, there were a number of projects using Semantic Kernel. Today we'd like to highlight one of the projects focused on using Semantic Kernel and the new Vector Store abstraction. I'm going to turn it over to the Hackathon team to share more about their project and work using Semantic Kernel. Summary In Microso...

In one of the previous posts, we demonstrated how to use JSON Schema to get Structured Output with OpenAI and Python version of Semantic Kernel: Using JSON Schema for Structured Output in Python for OpenAI Models. In this post, we will explore how to implement a JSON Schema-based structured output using .NET version of Semantic Kernel. For mo...

Hello again Java AI developers! We are announcing the 1.3.0 release of the Semantic Kernel for Java. You can find our updates on the GitHub repository and the artifacts on Maven Central. This release will mark the final experimental version of our Vector Store functionality. Vector search is now available across all our supported vector store...

We are thrilled to announce that Microsoft Semantic Kernel Python Kernel has reached an incredible milestone of 1,000,000 downloads! This achievement would not have been possible without the unwavering support and enthusiasm of our community. We want to extend our heartfelt thanks to every developer, contributor, and user who has embraced the Pytho...

In working with AI applications, ensuring that the output generated by a language model is structured and follows a consistent format is critical—especially when handling complex tasks like solving math problems. A powerful way to achieve this is through the use of JSON Schema, which allows the AI model to produce outputs that align with a predefin...

As organizations look to enhance efficiency and decision-making, the integration of AI into business processes has become increasingly important. The new Process Framework for Microsoft Semantic Kernel empowers developers to seamlessly embed AI into their workflows, providing a structured approach to optimizing daily operations. Not sure what a ...

Background on Hackathon Project: Virtual Customer Success Manager (VCSM) Semantic Kernel is a versatile SDK that seamlessly integrates AI models into applications, enhancing their responsiveness and understanding. It offers tools for chat completion, multi-agent coordination, and data retrieval, enabling developers to create advanced AI-driven sol...

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...