Skip to content

breezy89757/AiLearningLab

Repository files navigation

AI Learning Lab 🧪

An interactive Blazor web application for teaching AI technology evolution — from basic LLM calls to MCP (Model Context Protocol).

🇹🇼 繁體中文

📊 AI Technology Evolution

AI Technology Evolution

🎯 Features

  • 7 Progressive Levels — Each level solves the previous level's problem
  • Side-by-Side Comparison — See how each technique improves AI responses
  • Collapsible Code Snippets — Learn what code is needed for each level
  • Real-time Demos — Actually call Azure OpenAI to see results

🏗️ Technology Levels

Level Name What It Adds Problem It Solves
L1 Pure LLM Basic chat -
L2 System Prompt Role/identity No consistency
L3 Few-shot Example outputs Unpredictable format
L4 Chat Memory Conversation history Forgetful AI
L5 RAG Document retrieval AI lacks private knowledge
L6 Function Calling Tool invocation No real-time data
L7 Agent Multi-step reasoning Manual orchestration
L8 MCP Standard protocol Tool integration effort
L9 LangGraph Graph-based flows Uncontrollable complex tasks
L10 Observability Monitoring & Debugging AI behavior black box

🚀 Quick Start

Prerequisites

  • .NET 10.0 SDK
  • Azure OpenAI or LiteLLM endpoint

Configuration

  1. Edit appsettings.json:
{
  "LlmProvider": {
    "Provider": "AzureOpenAI"
  },
  "AzureOpenAI": {
    "Endpoint": "https://your-resource.openai.azure.com/",
    "ApiKey": "your-api-key",
    "DeploymentName": "gpt-4o"
  }
}
  1. Run:
dotnet run
  1. Open http://localhost:5062

💡 Suggested Test Cases

Level Input Expected Behavior
L1 vs L2 "退貨流程是什麼" L1 = generic, L2 = brand-specific
L3 "這產品很爛" Returns JSON: {"sentiment":"negative"}
L4 "我叫小明" then "我叫什麼" Remembers "小明"
L6 "台北天氣" Calls weather tool
L7 "查天氣,晴天就預約會議室" Multi-step reasoning

📂 Project Structure

AiLearningLab/
├── Components/
│   ├── Layout/MainLayout.razor    # Sidebar with anchor links
│   └── Pages/Home.razor           # Single-page with all levels
├── Services/
│   ├── LlmService.cs              # L1-L4 implementations
│   ├── AgentService.cs            # L6-L7 implementations
│   └── McpService.cs              # L8 MCP connection
├── Plugins/
│   └── DemoPlugin.cs              # Sample tools (weather, calc, etc.)
└── Models/
    └── LearningLevel.cs           # Level metadata

🛠️ Tech Stack

  • Frontend: Blazor Server (.NET 10)
  • AI: Azure OpenAI / LiteLLM
  • Frameworks: Microsoft.Extensions.AI, Microsoft.Agents.AI

📝 License

MIT