Building AI Applications with Microsoft Semantic Kernel
Easily integrate generative AI capabilities and copilot experiences into your applications
Created by Lucas A. Meyer
Discover how to bring advanced generative AI features into your applications using Microsoft Semantic Kernel. Learn practical ways to connect with popular AI models, build custom plugins, and manage complex tasks with ease. Real-world examples help you see how these tools work in action.
Packt | Jun 2024 | 252 min
What You Will Learn
You'll start by exploring how to link your applications to top AI services and craft reusable prompts. Step-by-step guidance shows you how to build your own plugins and combine them for more advanced tasks. Real examples and hands-on practice help you confidently apply these skills to your own projects.
Key Features
- Connect your apps to leading AI models like GPT-3.5 and GPT-4 with simple integration
- Build and combine custom plugins to extend AI capabilities for complex workflows
- Use vector databases to give your AI memory and improve context handling
Target Audience
Ideal for .NET or Python developers with basic programming experience who want to add AI features to their apps quickly. Product managers with some coding background will also benefit, especially when building prototypes. If you want to use the latest AI tools without getting bogged down in technical details, this is for you.
