Playground · Learn
Learn
A shelf of talks and tutorials we come back to — on AI, machine learning and building software well. Grab a coffee and level up.
AI Foundations
AI vs Machine Learning
IBM Technology
A quick, clear map of how AI, machine learning and deep learning actually relate.
But what is a neural network?
3Blue1Brown
The clearest visual introduction to what a neural network actually is.
Gradient descent — how neural networks learn
3Blue1Brown
The intuition behind how neural networks learn from data.
Backpropagation, intuitively
3Blue1Brown
What backpropagation is really doing when a network learns.
The Strange Math That Predicts (Almost) Anything
Veritasium
Markov chains — the deceptively simple math behind language models, PageRank and much of modern ML.
LLMs & Transformers
How Large Language Models Work
IBM Technology
A short, accessible explainer on what LLMs are and how they generate text.
Intro to Large Language Models
Andrej Karpathy
A one-hour, non-hype primer on how LLMs work and where they're going.
Transformers, the tech behind LLMs
3Blue1Brown
A visual walkthrough of the transformer architecture behind modern AI.
Attention in transformers, step-by-step
3Blue1Brown
The attention mechanism — the key idea that makes transformers work — explained visually.
Let's build GPT: from scratch, in code
Andrej Karpathy
Build a transformer language model line by line, in code.
Building & Using AI
Deep Dive into LLMs like ChatGPT
Andrej Karpathy
A thorough tour of how modern chat LLMs are actually built and trained.
How I use LLMs
Andrej Karpathy
Practical, real-world patterns for getting the most out of LLM tools.
What is Retrieval-Augmented Generation (RAG)?
IBM Technology
How RAG grounds LLMs in your own data — the backbone of most enterprise AI.