Research Engineering — Overview

Every algorithm and architecture covered across this site — Transformers, ResNet, diffusion models, DPO — originated in a paper. This section is the meta-skill underneath all of it: how to actually read a paper well enough to extract what matters, and how the field's landmark ideas connect to each other across time, so a new paper reads as "the next step from X" rather than an isolated, unconnected development.

What's in this section

• How to Read AI Papers — a systematic structure for extracting what actually matters from a paper, fast, without either skimming past the substance or getting lost in notation.
• The Paper Timeline — the landmark architectures covered across this site, connected to their predecessors and successors, so the history reads as one continuous line of ideas rather than a list of names to memorize.

See the roadmap for the full path.