What's Semantic Kernel

Semantic Kernel is a powerful SDK developed by Microsoft that empowers developers to seamlessly integrate large language models, such as OpenAI and Azure OpenAI, into their C#, Python, or Java codebases. This tool is designed to facilitate the creation of AI agents and enterprise-grade solutions by providing a modular and extensible platform. With Semantic Kernel, developers can effortlessly connect to the latest AI models without the need to rewrite existing codebases, ensuring a smooth and efficient development process.

What sets Semantic Kernel apart?

What makes Semantic Kernel stand out is its ability to automatically orchestrate plugins and manage prompts, offering a future-proof AI integration solution. The platform is equipped with security enhancements, including telemetry support, and provides abstractions for AI services, making it a robust choice for developers. Additionally, the Visual Studio Code extension enhances the development experience, allowing for seamless integration and management of AI models. Semantic Kernel's support for multiple programming languages, including C#, Python, and Java, further distinguishes it as a versatile and comprehensive tool for building AI-driven applications.