Articles on AI, system design, and engineering.
A clear, practical explanation of what Large Language Models are, how they work under the hood — from training to tokenization to inference — and why they matter for software engineers.
A practical introduction to system design fundamentals — scalability, load balancing, caching, databases, and the trade-offs that define real-world architecture decisions.
A practical guide to prompt engineering — zero-shot, few-shot, chain-of-thought, and system prompts — with code examples showing how to get consistent, high-quality outputs from LLMs.