1.8 KiB
Reference
Background material to dip into when your project pulls you toward something you don't yet know. None of it is required reading. The class is driven by your project; this folder exists so that when a project hits a wall, there's something concrete to point at.
There are two flavors of reference here, and they're meant to be used differently.
Tools and tech (hands-on)
Short, self-paced primers on the things you'll most often end up touching. Read them when you have a reason to, not before.
| Folder | What it covers |
|---|---|
python/ |
Python basics — enough to read and tweak the code AI writes for you |
git/ |
Tracking changes, undoing mistakes, working on more than one thing at once |
github/ |
Putting code somewhere others (or future-you) can find it |
huggingface/ |
Where most open-weight models live; how to grab one and use it |
pytorch/ |
The framework most modern models are written in |
docker/ |
Running other people's software without polluting your own machine |
More will appear here as projects surface the need for them.
Papers (reading)
A small, opinionated set of papers that, taken together, give you a feel for how we got here. Skim them, read the abstracts, or just look at the dates and the names — the trajectory matters more than any individual result.
See papers/.
How to use this folder
- Don't binge it. Reading reference material in the abstract is the slowest way to learn it. Wait until your project gives you a reason.
- Skim, then dive. Read the README of a topic before reading any of the lessons. You may find you only need one section.
- Ask AI as you go. These primers are starting points, not textbooks. If something doesn't click, paste the snippet at an AI and ask.