Purpose
This collection keeps factual notes about artificial intelligence: histories of model families, the problems that shaped them, and the design choices that made them practical. The aim is a stable reference for orientation, not opinion pieces or predictions.
Current Reading Path
Planned Areas
- Representation learning and embeddings
- Sequence modeling and attention
- Generative models
- Reinforcement learning foundations
Status
From Noise to Images is the first complete bilingual note here. New pages should be added in English and Chinese together.
Discussion