Notes are a working system.
Collections are organized by topic, sequence and prerequisites. Dates stay out of the way; permanent paths make every article easy to revisit.
Natural Language
Processing
Foundations → representations → neural NLP → Transformers → modern LLM systems.
Explore NLP →Generative
Models
Probability → VAEs → GANs → normalizing flows → diffusion → evaluation.
Explore generative models →Other notes / developing
Systems, MLOps and applied AI.
Shorter notes will collect implementation patterns that sit between the two main courses.