Catalogue · Faculty of AI & Language Models
AI 301
NLP with Deep Learning (CS224n)
Stanford’s CS224n under Chris Manning: natural language processing from word vectors through attention and transformers to modern pretrained models. The lectures trace, in order, the exact chain of ideas that led to today’s large language models — which makes this course the intellectual spine of the faculty. Lectures and assignments are public.
Syllabus
- word embeddings
- recurrent networks
- attention
- transformers
- pretraining and fine-tuning
Held at Stanford University. The materials remain theirs; the structure is ours. Finished it? Record it in your transcript.