Index / 02 notes

The notebook.

Essays distilled into Cornell notes: cues and diagrams on the left, deeper thinking on the right, and a summary worth remembering.

High Performance Computing Tech Stack

A practical map of the knowledge, software, hardware, and workflow that show up in an HPC project or competition.

Chapter 02Read note →
Hand-drawn learning map for high performance computing and systems profiling, branching from operating systems into distributed systems, computer architecture, concurrency, compilers, and digital design.

AI Inference: What happens after the model is trained?

An introduction to prefill, decoding, and what actually happens inside an LLM after training.

Chapter 01Read note →
Annotated overview of AI inference, including tokenization, embeddings, RoPE, attention, and attention scores.