A comprehensive technical book about special tokens in transformer architectures, created as a demonstration of AI-assisted book authoring using Claude CLI agents.
This book is a demonstration of AI-powered technical writing using Claude CLI with the AGENTS.md framework. The entire content was generated with minimal human intervention - primarily high-level guidance and iterative refinement requests.
- Agent-Driven Architecture: Used specialized Claude CLI agents to generate structured, technical content
- Iterative Development: Book was built chapter by chapter through conversational prompts
- Technical Accuracy: AI agents maintained consistency across mathematical notation, code examples, and technical concepts
- Professional Formatting: Automated LaTeX formatting, bibliography management, and document structure
- ✅ Complete manuscript (321 pages)
- ✅ Technical content including algorithms, code examples, and mathematical formulations
- ✅ Document structure with proper LaTeX formatting
- ✅ Bibliography with proper citations
- ✅ Figures and diagrams using TikZ
- ✅ Professional typography with Times font and proper spacing
- 🎯 Topic direction: "Write a book about special tokens in transformers"
- 🎯 Structural guidance: Chapter organization and content depth
- 🎯 Quality control: Formatting adjustments and compilation fixes
- 🎯 Publishing decisions: Font choices, layout preferences
This technical book covers:
- Introduction to Special Tokens
- Core Special Tokens in NLP ([CLS], [SEP], [PAD], [UNK])
- Sequence Control Tokens ([SOS], [EOS], [MASK])
- Vision Transformers and Special Tokens
- Multimodal Special Tokens
- Domain-Specific Special Tokens
- Custom Special Token Design
- Special Token Optimization
- Training with Special Tokens
- Implementation Guidelines (Complete)
- Training Strategies (Planned)
- Debugging and Analysis (Planned)
- LaTeX: Professional typesetting with custom document class
- Fonts: Times Roman for text, Computer Modern for mathematics
- Graphics: TikZ for technical diagrams and attention visualizations
- Bibliography: BibLaTeX with author-year citation style
- Build System: Standard LaTeX compilation pipeline
- Pages: 321
- Chapters: 10 complete + 4 planned
- Code Examples: 50+ Python implementations
- Figures: Custom TikZ diagrams and attention visualizations
- Generation Time: ~2 hours of interactive AI assistance
# Compile the book
pdflatex main.tex
biber main
pdflatex main.tex
# Or use the complete build process
make # if Makefile existsThis project showcases:
- AI Capability: Complex technical content generation with consistency
- Agent Architecture: Structured approach to large document creation
- Minimal Supervision: Human role limited to high-level guidance
- Professional Quality: Publication-ready formatting and presentation
- Iterative Refinement: AI's ability to incorporate feedback and improve
This book was created using an AGENTS.md framework that defines specialized roles for different aspects of technical writing. The agent definitions are available at: https://github.com/hfgong/book-writer-agent
The framework includes specialized agents for:
- Content Structuring Agent: Chapter organization and flow
- Technical Writing Agent: Deep technical explanations and examples
- Code Generation Agent: Python implementations and algorithms
- LaTeX Formatting Agent: Professional document preparation
- Quality Assurance Agent: Consistency and accuracy verification
This demonstrates the potential for:
- Automated Technical Documentation: Generate comprehensive guides from specifications
- Educational Content Creation: Produce textbooks and learning materials at scale
- Research Paper Assistance: Structure and draft technical papers
- Corporate Documentation: Create training materials and technical manuals
This content is AI-generated for demonstration purposes. While technically accurate, readers should verify information for production use and consult primary sources for critical applications.
Generated by: Claude CLI Agents
Human Oversight: Minimal (structural guidance only)
Purpose: Demonstration of AI-assisted technical writing capabilities