Artificial Intelligence, Explored

From search algorithms to transformers — understand how AI works with interactive visualizations.

What is AI?

A robot waiter, a chess engine, and Siri walk into a bar — what makes them intelligent?

Narrow AI vs General AI

A chess grandmaster who can't make toast — that's narrow AI in a nutshell

AI vs ML vs Deep Learning

Russian nesting dolls — AI is the biggest, ML fits inside it, Deep Learning fits inside ML

Search & Planning

State Space Search

Exploring every possible move to find the goal

Heuristic Search

Use smart guesses to search faster

Minimax Algorithm

Think ahead — what's the best move if your opponent plays perfectly?

Knowledge & Reasoning

Knowledge Representation

How machines store facts about the world

Logic & Inference

If A then B, A is true — so B must be true

If-then rules that mimic a specialist

Natural Language Processing

Text Representation

Turning words into numbers a computer can read

Breaking sentences into bite-sized pieces

Attention Mechanism

Focus on the words that matter most

The architecture behind modern AI — attention is all you need

Computer Vision

Images as Numbers

Every picture is just a grid of numbers

A sliding magnifying glass that detects patterns

Convolutional Neural Networks (CNNs)

Stack convolutions to see edges, then shapes, then objects

RL & Generative AI

Reinforcement Learning Basics

Learn by trial, error, and reward

Build a cheat sheet of how good each move is

Create new images, text, and music from patterns

Making sure AI does what we actually want