Computing 2028 Draft - NLP Systems
Natural Language Processing & Attention
Authority: The Museum of AICore GCSE syllabus reference
1. Core Concept Description
Understand how modern AI models process human language. Learn how self-attention weights relate words in a sentence to capture context.
Syllabus Key takeaway:
Attention. Transformers read the entire input text at once and weight word-to-word relationships, unlike early keyword matching bots like ELIZA.
2. Interactive Museum Labs
Cabinet Laboratory
Launch the visual coding maze or attention simulator to test this concept.
Historical Timelines
Read the detailed curatorial dossiers on the chronological milestones.
2. Archival References
- Timeline dossier: Attention Is All You Need (2017) — https://museumofai.org.uk/nodes/node-transformer-2017
- Timeline dossier: ELIZA Release (1966) — https://museumofai.org.uk/nodes/node-eliza-1964
- Interactive simulator: TRANSFORMER Lab — https://museumofai.org.uk/arcade/transformer