Semantic Kernel: Teaching AI to Not Just Repeat, But Complete!
summary
Shows a concrete pipeline that uses Semantic Kernel plus the RAG pattern and Azure OpenAI to daisy‑chain small skills into goal‑oriented programs. Demonstrates a Visual Studio Code extension, a kernel HTTP server, and a React TypeScript Book Creator that turns a one‑line joke into an 8‑page children's book in seconds, and an enterprise template that indexes PDFs into Azure Cognitive Search and returns answers with citations. Claims a real UN anti‑corruption prototype deployed from template in about four hours using Azure Developer CLI.
AI-written summary · about
chapters (9)
- 0:00Introduction to Semantic Kernel
- 3:08Generative AI evolution and context
- 8:24Demo setup and plugins
- 10:51Planning with RAG pattern
- 14:49Book Creator web app demo
- 18:48Real-world templates with Azure CLI
- 21:17Anti-corruption hackathon example
- 24:06Azure Developer CLI templates
- 25:34Q&A and resources
related talks
01h 02mDevelop AI agents with Semantic Kernel
33mHow to enhance your own AI services using Semantic Kernel
53mUnleash the power of AI: Automate tasks with OpenAI and Semantic Kernel
46mBuilding AI solutions with Semantic Kernel
59mOrchestrate your AI with Semantic Kernel
01h 12mBuilding Scalable GenAI Apps Using Semantic Kernel and .NET Aspire
01h 00mBuilding your own AI Agent using Semantic Kernel
39mAI app 101: Starting from scratch with Semantic Kernel