Semantic Kernel in 7 mins - EASY Tutorial

Unlock the power of AI in your applications with Microsoft's Semantic Kernel. This comprehensive guide takes you through the robust capabilities of Semantic Kernel, Microsoft's innovative orchestration layer that simplifies the integration of AI services into your apps. Discover how to leverage the might of Large Language Models (LLM) and use Microsoft's answer to LangChain, the Semantic Kernel

⏰ Timestamps:
0:11 What is Microsoft Semantic Kernel
1:36 Installing Microsoft Semantic Kernel
2:05 Creating a Semantic Function
2:45 Prompting
3:47 Instantiating Semantic Kernel
4:17 Importing Semantic Functions
5:02 Chaining Semantic Functions
6:41 Output of LLM Application

🔍 What You'll Learn:

What is Semantic Kernel and its role in AI app development?
How to make Semantic Functions
Chaining Semantic Functions
Step-by-step tutorial on getting started with Semantic Kernel

🚀 Key Features of Semantic Kernel:
Intuitive connectors for seamless integration
Memory and planning capabilities for advanced AI functions
Extensibility with custom and out-of-the-box plugins
Support for major AI models including ChatGPT, Bing, and Microsoft 365 Copilot

⚙️ Get Started with Semantic Kernel:
Dive into the world of AI with ease. Semantic Kernel provides all the tools you need to bring cutting-edge AI to your applications. Follow our tutorial to begin your journey into AI app development with Microsoft's Semantic Kernel.

⚙️ Links:
Tutorial Github Repo: https://github.com/calapsss/ms-sk-tut...
Semantic Kernel Repo: https://github.com/microsoft/semantic...