Today we’re excited to welcome Arafat Tehsin, who’s a Microsoft Most Valuable Professional (MVP) for AI. back as a guest author on the Semantic Kernel blog today to cover his work on a Comprehensive Guide to Agentic AI with Semantic Kernel. We’ll turn it over to Arafat to dive in further.
The world of AI is evolving rapidly and just two weeks back, the Semantic Kernel team rolled out several significant improvements to their Agent Framework for both .NET and Python SDKs. These updates pave the way for more dynamic and flexible applications across various industries. Therefore, I decided to come up with a comprehensive guide that delves into the intricacies of Agentic AI with Semantic Kernel designed to help developers especially those in the .NET ecosystem so they can navigate and implement these powerful tools.
Why Agentic AI?
Agentic AI represents a shift toward systems that are not just reactive but proactive in how they approach problem-solving. By integrating multiple models and agents, developers can craft solutions that tackle complex, real-world challenges more efficiently. The enhancements in the Semantic Kernel Agent Framework further extend these capabilities, allowing for smoother integrations and more robust performance across various applications.
What’s Inside the Guide?
In this guide, you’ll discover:
- Getting Started with the Agent Framework: A step-by-step walkthrough to help you set up and configure the framework, ensuring you have a solid foundation to build your projects.
- Multi-Agent, Multi-Model Scenarios: Explore practical examples, such as using Gemini Flash for travel, GPT-4 for meal suggestions, and Ollama for other specialized tasks. These scenarios showcase the flexibility of combining different models to address various needs.
- Robust Selection and Termination Strategies: Learn about the strategies that enhance decision-making processes within your agents, this is one of my favorite sections as it highlights how to fine-tune agent behavior for optimal outcomes.
- Different Types of Plugins: Understand the differences between native and prompt-based plugins and how each can be leveraged to extend the functionality of your AI agents.
Who Is This Guide For?
If you’re a .NET developer or simply someone curious about the latest in AI agent technology, this guide is crafted to help you get started. The insights provided are practical and designed to be easily integrated into your existing projects, whether you’re building new applications or enhancing legacy systems.
Get Started Today!
Semantic Kernel opens the new doors in the field of Agentic AI and I hope this guide serves as a valuable resource on your journey. Whether you’re experimenting with multi-model setups or refining the way your agents make decisions, there’s something in this guide for everyone.
Dive into the details by checking out the full guide on GitHub:
Happy coding and welcome to the future of Agentic AI with Semantic Kernel!
From the Semantic Kernel team, we’d like to thank Arafat for his time and all of his great work. Please reach out if you have any questions or feedback through our Semantic Kernel GitHub Discussion Channel. We look forward to hearing from you!
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