Build logs, debugging notes, and practical implementation details.
A practical walkthrough of K-Nearest Neighbors built from scratch in Python, showing how feature similarity is calculated in multi-dimensional space.
A practical breakdown of how to reduce LLM hallucinations with a lightweight RAG pipeline using embeddings, FAISS, and top-k retrieval for technical documentation.
Web101 by Han is evolving beyond web development. This update explains what’s changing, why the scope is expanding into AI, machine learning, algorithms, and technical analysis, and what readers can expect going forward.