AI & Machine Learning, Explained
an interactive guide

AI & machine learning,
explained one step at a time.

Six short, click-through lessons on how models actually learn and predict.

01

How a Neural Network Predicts

Numbers flowing layer by layer to a final answer.

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02

Training vs. Inference

Learning from examples, then just using what it learned.

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03

Gradient Descent

Rolling downhill toward the lowest error.

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04

Embeddings & Vector Search

Turning meaning into numbers you can compare.

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05

Overfitting vs. Generalization

Memorizing the data, versus learning the pattern.

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06

Tokens & Context Windows

Why a model can only "see" so much at once.

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