Microsoft Semantic Kernel - Integrate LLMs Into Your Applications - AI SDK

---

---

AI Summary

Summary: Microsoft’s Semantic Kernel Project Integration

• Introduction to Microsoft’s Semantic Kernel project
  • Integrates LLM technologies into applications
  • Compatible with OpenAI, Azure Open AI, and Hugging Face APIs
• Installation and Setup
  • Install Semantic Kernel on a local system
  • Requires an OpenAI API key
  • Semantic Kernel is an SDK for integrating LLMs with programming languages like C, Python, Java
  • Define and chain plugins with minimal code
• Code Demonstration
  • The provided code has bugs; a working version will be shared in the blog
  • Semantic Kernel can orchestrate AI plugins to achieve user goals
  • The video includes a tutorial on installation and embedding into applications
• Environment and Code Walkthrough
  • Create a virtual environment and install Semantic Kernel
  • Set up an .env file with API keys
  • Code walkthrough in VS Code
    • Import modules, load environment file, initialize Semantic Kernel
    • Set service ID, model, API key, and hyperparameters
    • Create prompts and functions for AI to process
    • Example of generating a TLDR summary
• Execution and Results
  • Run the code to get a TLDR summary
  • Demonstrates ease of installation and code integration
• Additional Information
  • Sponsored by MK compute for GPU rental services
  • Use on various operating systems where Python is supported
  • Blog post and code will be linked in the video description
• Conclusion
  • Encourages trying out Semantic Kernel
  • Project is new and rapidly evolving
  • Invitation to subscribe and share the channel