Clear explanations of things worth understanding — documented so I don’t have to figure them out twice!
Notes
| Domain | Description |
|---|---|
| AI & ML | Neural networks, transformers, training, inference, alignment |
| Mathematics | Analysis, probability, linear algebra, information theory |
| Computer Hardware | DRAM, CPU, GPU, storage, hardware architecture toward CUDA |
| Physics | Nuclear, electromagnetism, quantum mechanics, astrophysics |
| Engineering | Data engineering, software systems, infrastructure |
| More soon | Next up: Build GPT from scratch (implementing this series) |
Implementations
See Implementations for hands-on builds and reimplementations in Python (Jupyter notebooks).