Artificial Intelligence
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AI Foundations

5 chapters · 43 min total

A ground-up path into how modern AI actually works — separating AI from machine learning and deep learning, understanding the neural network underneath, learning what a large language model is, how it is trained, and how generative AI turns tokens and embeddings into output.

  1. 01 AI vs ML vs Deep Learning — What Is the Actual Difference? 9 min read
  2. 02 Neural Networks — The Idea Behind Modern AI 7 min read
  3. 03 What is a Large Language Model (LLM)? 10 min read
  4. 04 How Generative AI Works — Tokens, Embeddings and the Transformer 8 min read
  5. 05 How LLMs Are Trained — Pretraining, Fine-Tuning and RLHF 9 min read
Start Series — Chapter 1 →