Frameworks
Semantic Kernel
An open-source SDK that lets you easily combine AI services with conventional programming languages like C#, Python, and Java.
Bridging Software and AI
Microsoft Semantic Kernel is an SDK designed to integrate Large Language Models (LLMs) with conventional programming languages. It allows developers to treat AI “skills” just like functions, enabling the creation of complex, AI-driven applications within existing software ecosystems.
⚙️ Core Concepts
- Kernel as Orchestrator: The “Kernel” is the central hub that manages the connection between AI models, your code, and external data.
- Semantic Functions: Define AI behaviors using natural language templates that can be called just like standard programmatic functions.
- Native Functions: Seamlessly integrate your existing C# or Python code into the AI’s execution pipeline.
- Planners: Advanced components that allow the AI to automatically combine multiple functions (both semantic and native) to achieve a goal.
🏗️ Enterprise Integration
- Legacy Modernization: Add AI capabilities to existing enterprise applications without rewriting the entire codebase.
- Intelligent Workflows: Automate business processes by combining AI reasoning with established programmatic logic.
- Custom AI Plugins: Build reusable AI modules that can be shared across different projects and teams.
🚀 Microsoft’s Vision for AI
Semantic Kernel is at the heart of Microsoft’s strategy to bring AI to every developer. It provides a robust, typed, and scalable foundation for building the next generation of intelligent software.