From Neural Networks to Transformers: Understanding the Foundation of Modern AI
Every AI tool people use today — from ChatGPT to Claude and Gemini — is built on a series of breakthroughs that unfolded over several decades of research. It’s tempting to jump straight into Large Language Models without understanding the building blocks underneath them, but doing so often leaves a gap in intuition that makes everything else harder to follow. Once you understand Neural Networks, Transfer Learning, Tokenization, Embeddings, Attention, and Transformers, modern AI becomes significantly easier to reason about — not as magic, but as a series of well-understood engineering ideas stacked on top of each other. ...