33 lines
1.8 KiB
Markdown
33 lines
1.8 KiB
Markdown
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# Reference
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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.
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There are two flavors of reference here, and they're meant to be used differently.
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## Tools and tech (hands-on)
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Short, self-paced primers on the things you'll most often end up touching. Read them when you have a reason to, not before.
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| Folder | What it covers |
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|--------|----------------|
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| [`python/`](python/) | Python basics — enough to read and tweak the code AI writes for you |
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| [`git/`](git/) | Tracking changes, undoing mistakes, working on more than one thing at once |
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| [`github/`](github/) | Putting code somewhere others (or future-you) can find it |
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| [`huggingface/`](huggingface/) | Where most open-weight models live; how to grab one and use it |
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| [`pytorch/`](pytorch/) | The framework most modern models are written in |
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| [`docker/`](docker/) | Running other people's software without polluting your own machine |
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More will appear here as projects surface the need for them.
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## Papers (reading)
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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.
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See [`papers/`](papers/).
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## How to use this folder
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- **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.
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- **Skim, then dive.** Read the README of a topic before reading any of the lessons. You may find you only need one section.
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- **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.
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