🧪 Hardcore Lab | 开发者实验室¶
"The path to AGI is paved with code, not just words." — AI Learning Community
Welcome to the Hardcore Lab. This section is dedicated to practical, hands-on implementation. Here you will find executable scripts, Jupyter Notebooks, and ready-to-use templates for various AI tasks.
🚀 One-Click Labs | 一键实验¶
| Mission | Description | Action |
|---|---|---|
| 01. Transformer Visualization | Visualize how attention works in real-time. | [Coming Soon] |
| 02. Local LLM Quantization | Quantize a Llama-3 model on your local machine. | [Coming Soon] |
| 03. RAG Pipeline from Scratch | Build a complete RAG system using LangChain. | [Coming Soon] |
| 04. Agentic Workflow | Deploy a multi-agent system using AutoGen. | [Coming Soon] |
🛠️ Tooling & Scripts | 工具与脚本¶
1. Model Quantization Script¶
A Python script to help you quantize models using llama.cpp or AutoGPTQ.
View Script (Placeholder)
2. Prompt Evaluation Template¶
An Excel/Markdown template to track and evaluate prompt performance across different models. Download Template (Placeholder)
🛡️ Best Practices | 最佳实践¶
- First Principles: Don't just copy code. Understand the underlying math.
- Fail Fast: Experiment frequently. If a model doesn't work, figure out why.
- Share: If you build something cool, open a PR and contribute it to the lab!
🚀 Mission Statement: To bridge the gap between AI theory and real-world impact.