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Attention in transformers, step-by-step | Deep Learning Chapter 6

A 26-minute video by 3Blue1Brown about machine learning, on the AI shelf. It came up in r/MachineLearning, in a thread called “[D]: A 3blue1brown Video that Explains Attention Mechanism in Detail”. It is pitched at intermediate level.

3Blue1Brown, Video, 26 min, 2024, on the AI shelf

A visual explanation of the attention mechanism.

Study notes

Intermediate, Derivation. Step 9 of 11 in From probability to modern AI

Helpful first

• Vectors
• Matrix multiplication
• Transformer overview

What it builds

• Recall the prediction goal of a language model.
• Update embeddings using contextual meaning.
• Use queries and keys to ask and answer relevance questions.

Useful moments

• 0:26The model’s goal
• 5:26Absorbing meaning from context
• 6:18Queries and keys

Check yourself: What is the purpose of separating queries, keys and values?

Next in the path: The Breakthrough Behind Modern AI Image Generators | Diffusion Models Part 1

Notes are based on metadata, Reddit context and selected English caption passages. They are not a review of every claim in the video.