Thomas Piacentini
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12 · Multimodal AI

Multimodal AI

Original text · English

Models that see, hear, read, and reason across modalities.

Start this phase on GitHub

Prerequisites: Phase 7 Transformers and Phase 4 Computer Vision.

First lesson: Vision Transformer Patch Tokens

Run this command from the repository root:

bash
python3 phases/12-multimodal-ai/01-vision-transformer-patch-tokens/code/main.py

Keep the command, exit code, patch grid and sequence lengths, parameter counts, and one sentence explaining why higher resolution creates more visual tokens.

Next action: Change one image or patch size, predict the sequence length, then continue to CLIP and Contrastive Pretraining.

Browse the full Phase 12 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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