Series

1NF through 5NF Explained · What to Use When · How Databases Actually Store and Find Your Data · From Binary Trees to Database Indexes · Internals, Types, and Trade-offs · Reading and Understanding Query Plans · Strategies, Real Advantages, and Pitfalls · Connections, Locks, and MVCC

When One Database Stops Being Enough · Strategies, Topologies, and What to Use When

Intro to Large Language Models · A Deep Dive into How LLMs Are Built · Neural Networks, Transformers, and How LLMs Learn

Getting the Definitions Right · The Luck You Can Engineer · Specific Knowledge Is Your Moat · Leverage, Scale, and What the Internet Changed · People, Character, and the Foundation of Learning

The Language Neural Networks Speak · Teaching Machines to Improve · How Neural Networks Express Uncertainty · Perceptrons, Layers, and Forward Pass · How Neural Networks Learn from Mistakes · Turning Words into Vectors · How Transformers Focus · Putting It All Together