Edwy
AI Primer

Transformers and LLMs · Module 16

PART V

Transformers + LLMs

Language became the universal interface in 2017–2024. Here is how.

Applied frame

Track tokens, context, attention, parameters, precision, and deployment cost as one system.

Diagram cue

The diagram connects sequence processing, attention flow, scale, and serving constraints.

Transformer pipeline from tokens to embeddings, position, attention, and output
Transformers turn token sequences into contextual representations.
PART V animated explainer
Owned Edwy animated explainer for PART V.

Transformers process sequences through embeddings, position, attention, and feed-forward layers. Key motion beats: tokens, embeddings, position, attention, output.

PART V check

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Source slide 17