LLM-Book

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This book is a comprehensive manual designed to empower professionals to harness the potential of AI technologies responsibly and innovatively. The book addresses the technical, ethical, and practical aspects of AI development, offering a roadmap for those looking to advance in the rapidly evolving field of LLM Ops.

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# 📖 LLMOps: Make AI Work For You

> A comprehensive, hands-on guide for data scientists, ML engineers, and software developers to build real products with Large Language Models.

[![GitHub Pages](https://img.shields.io/badge/docs-GitHub%20Pages-blue)](https://boramorka.github.io/LLM-Book/)
[![License](https://img.shields.io/badge/license-MIT-green)](https://raw.githubusercontent.com/boramorka/LLM-Book/main/LICENSE)
[![MkDocs](https://img.shields.io/badge/docs-MkDocs-blue)](https://www.mkdocs.org/)

## 🌍 Available Languages

- **🇺🇸 [English](https://boramorka.github.io/LLM-Book/en/)** - Full English documentation
- **🇷🇺 [Русский](https://boramorka.github.io/LLM-Book/ru/)** - Полная русская документация

## 📚 About the Book

This book is a practical guide by **Nikita Goryachev** covering:

### 📖 Chapter 1: OpenAI API Fundamentals
- Introduction to ChatGPT API capabilities, classification, and applications
- Advanced moderation and machine reasoning techniques  
- Prompt chaining strategies
- Building and evaluating LLM applications

### 🔗 Chapter 2: Conversational Chatbots with LangChain
- Practical chatbot development with LangChain
- Environment setup to advanced retrieval
- Context and dialogue memory for human-like interactions

### ⚙️ Chapter 3: LLMOps
- Structured guide to integrating LLMs into development workflows
- Model selection, tuning, deployment, and monitoring
- Automation, best practices, and ethical considerations

## 🚀 Quick Start

### Reading Online
Visit our documentation site: **[boramorka.github.io/LLM-Book](https://boramorka.github.io/LLM-Book/)**

### Local Development

```bash
# Clone the repository
git clone https://github.com/boramorka/LLM-Book.git
cd LLM-Book

# Install dependencies
pip install mkdocs mkdocs-material

# Serve English version
mkdocs serve -f mkdocs-en.yml -a localhost:8002

# Serve Russian version  
mkdocs serve -f mkdocs-ru.yml -a localhost:8001
```

### Building All Versions

```bash
# Build all language versions
./deploy.sh

# Deploy to GitHub Pages
./deploy-github.sh
```

## 👨‍💻 About the Author

**Nikita Goryachev** is a Senior AI/ML Engineer at Sber, leading a team that implements state-of-the-art algorithms in NLP and recommendation systems. The team organizes industry meetups, participates in conferences (RecSys in Singapore, AI Journey in Moscow), and develops RePlay — an open-source library for recommendations.

## 🤝 Contributing

This book is open for contributions! Feel free to:

- Report issues or typos
- Suggest improvements
- Submit translations to other languages
- Add practical examples

## 📄 License

This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.

## 🔗 Links

- 📖 **Documentation**: [boramorka.github.io/LLM-Book](https://boramorka.github.io/LLM-Book/)
- 🐙 **Repository**: [github.com/boramorka/LLM-Book](https://github.com/boramorka/LLM-Book)
- 💼 **Author**: [Nikita Goryachev](https://github.com/boramorka)

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