Guest Blog: A Comprehensive Guide to Agentic AI with Semantic Kernel

Table of Contents
-
Getting Started with the Agent Framework
- A step-by-step walkthrough to set up and configure the framework for a solid foundation in building projects.
-
Multi-Agent, Multi-Model Scenarios
- Practical examples of using Gemini Flash, GPT-4, and Ollama for various tasks, showcasing the flexibility of combining different models.
-
Different Types of Plugins
- Understanding native and prompt-based plugins and how they can extend the functionality of AI agents.
Summary
- This comprehensive guide delves into the intricacies of Agentic AI with Semantic Kernel, designed specifically for .NET developers.
- Agentic AI allows for the integration of multiple models and agents to tackle complex challenges more efficiently.
- Practical examples demonstrate the use of different models like Gemini Flash, GPT-4, and Ollama in various scenarios.
- Developers can leverage different types of plugins, native and prompt-based, to enhance the functionality of AI agents.
- This guide serves as a valuable resource for those exploring the latest advancements in AI agent technology, particularly in the .NET ecosystem.
- Dive into the future of Agentic AI with Semantic Kernel by exploring the full guide on GitHub: Semantic Kernel Guide Repository
- Welcome to the exciting world of Agentic AI with Semantic Kernel!