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LLM Wiki

LLM Wiki is a comprehensive site focused on Large Language Model (LLM) knowledge (more interesting things like multimodal model and generative AI in future), built upon and extended from Maximilian Labonne's LLM course.

📚 Content Overview

This knowledge base contains three core sections:

🧩 LLM Fundamentals

A foundational module designed for beginners, covering:

• Mathematical Foundations
• Python Programming Basics
• Neural Network Fundamentals
• Natural Language Processing Basics

🧑‍🔬 LLM Scientist

Focused on building LLMs with the latest technologies, including:

• LLM Architecture
• Model Pre-training
• Post-training Datasets
• Supervised Fine-tuning
• ...

👷 LLM Engineer

Focused on production practices of LLM applications, including:

• Running LLMs
• Building Vector Storage
• Retrieval-Augmented Generation (RAG)
• Advanced RAG Techniques
• ...

🚀 Local Deployment

1. Clone Repository

git clone https://github.com/ddkeeper/llm-wiki.git
cd llm-wiki

2. Install Dependencies

pip install markdown==3.7 markupsafe==3.0.2 mergedeep==1.3.4 mkdocs==1.6.1 mkdocs-get-deps==0.2.0 mkdocs-material==9.6.3 mkdocs-material-extensions==1.3.1 mkdocs-static-i18n==1.3.0

3. Run Locally

mkdocs serve

4. Access Documentation

Open your browser and visit http://127.0.0.1:8000

🤝 Contributing

We welcome various forms of contributions:

• Content additions and improvements
• Error corrections
• New topic suggestions
• Documentation translation

📄 License

This project is licensed under the MIT License.

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