DUL β Deep Unsupervised Learning (UC-Berkeley)
Lecture notes from UC Berkeleyβs Deep Unsupervised Learning course, covering language modeling, scaling laws, and modern architectures.
Child Notes
- Lecture 8: Large Language Models β Language model abstraction, pretraining stages, tokenization, scaling laws (Chinchilla), compute cost estimation, and architectural comparisons between LSTMs and Transformers.