This section contains polished articles on algorithms, systems, and quantitative reasoning.
Posts here are written to:
- explain key insights clearly
- summarize stable understanding
- serve as reusable references
Useful routes:
- Master of AI for course-connected writing
- Transformers for a wiki hub around LLM architecture
- Mathematical Foundations for the theory layer behind the articles
- AI Systems for the engineering and inference layer
- Notes for the full topic map
Cross-Atlas Routes
- Start with Deep Learning Explained with Mathematics if you want the broad conceptual backbone
- Move to Build GPT-2 from Scratch if you want the implementation path
- Jump to Soft Computing Explained if you want the older uncertainty-oriented AI perspective
- Use A Simple CPU-based Whirl Shader Experiment to see how mathematical structure appears again in graphics