Thomas Piacentini
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07 · Transformers Deep Dive

Transformers Deep Dive

Original text · English

The architecture that changed everything. Understand every layer.

Start this phase on GitHub

Prerequisites: Phase 3 Deep Learning Core, Phase 5 Lesson 09 on sequence-to-sequence models, and Phase 5 Lesson 10 on attention.

First lesson: Why Transformers

Run this command from the repository root:

bash
python3 phases/07-transformers-deep-dive/01-why-transformers/code/main.py

Keep the command, exit code, serial and parallel depth table, equivalence check, and one sentence describing the speed-versus-memory tradeoff.

Next action: Explain why parallel depth changes the hardware story, then continue to Self-Attention from Scratch.

Browse the full Phase 7 lesson list or the cross-phase roadmap.

Continue step by step.

Code and artifacts 1
What you take away

Saved in your notebook on this device.

Sources and limits

Reading checkpoints are self-reported. Test results are recorded separately and apply to the executed cases.

AI Engineering from Scratch · 3f9715c · MIT

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