Racket docs are superb. The explanation of lenses is really accessible: https://docs.racket-lang.org/lens/lens-intro.html (some great examples and rationale)
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LLMs are a really accessible machine learning technique. I dabbled with text classifiers a few years ago and the APIs were way more involved.
(system_prompt: String, input: String) -> String
I can prototype with this much more easily!
Implementing type checking as another interpreter, with short, accessible examples:
Go has a wonderful, accessible discussion of how it does inlining today, the downsides, and the plans for 1.22:
