Attention, Memory, Reasoning, Continual¶
What this subject is for: How models attend, remember, and reason — attention, retrieval, long context, in-context learning, multi-step reasoning, continual learning.
Track status: 6 substantive concept pages. See the live generation status and the latest retrospective.
Concepts¶
- Attention
- In-context learning
- Long Context
- Multi-Head Attention
- Positional Encoding
- Retrieval-Augmented Generation
Arcs through this subject¶
No arcs yet — the retrospective proposes these once concept coverage hits ≥4 pages per track.
Key thinkers¶
Author pages pending.
Builds tied to this subject¶
MVB recipes pending — currently they live inside concept pages' Build it sections.
Auto-rebuilt from filesystem state by scripts/rebuild_track_indexes.py — see system architecture.