Semantic Kernel Prompts: Complete Guide to All Types with Examples for .NET AI Apps
When building AI-native applications with Semantic Kernel, prompts are the instructions you give to an LLM like GPT-4 to generate intelligent responses.
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GenAI Agents
5 tutorials
How to Create AI Agents Using Semantic Kernel’s Agentic Framework
Leverage the power of Microsoft Semantic Kernel to build smart, modular, and scalable AI agents with C#. This blog walks you through building your first AI agent using the Agentic Framework.
What is Semantic Kernel? Best Use Cases for Building AI-First Apps with Microsoft’s Open-Source SDK
Microsoft’s Semantic Kernel (SK) enables developers to integrate powerful LLM capabilities like GPT-4 into real-world applications—using C#, Python, or Java. But what exactly is it, and where does it shine? Let’s dive in.
What is the Process Framework in Semantic Kernel and How It Helps AI App Development
The Process Framework in Semantic Kernel helps developers codify AI behavior with precision, logic, and reuse. It enables building structured flows instead of just ad-hoc prompt chains — making your AI systems smarter, more maintainable, and enterprise-ready
Semantic Kernel Plugins Explained: Boost Your AI App Development with Modular Functionality
If you're building AI-powered applications using Microsoft technologies, Semantic Kernel plugins are an essential concept to master. In this SEO-optimized guide, we’ll break down what plugins are, why they matter, and how to use them to supercharge your AI apps using .NET and OpenAI.