TECHNOLOGY
The transformer is a neural-network architecture built around attention mechanisms and parallel sequence processing.
The transformer processes token relationships through attention and feed-forward layers, enabling parallel training and flexible sequence modeling.
Electronic Artefacts uses the transformer as a technical reference for explaining LLMs and multimodal systems rather than as a synonym for intelligence.
See Attention Is All You Need and Large Language Model.
Transformer Architecture. 1.0.0. Electronic Artefacts, 2026-06-24. https://electronicartefacts.com/knowledge/technologies/transformer-architecture/
TYPED RELATIONSHIPS
Each connection has an explicit predicate and a human-readable statement.
How Large Language Models Actually Work uses the transformer architecture as its principal technical reference.
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