Great talk from @strangeloop_stl about failure modes for machine learning. The content is both insightful and entertaining.
https://youtu.be/yneJIxOdMX4
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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!
Learning software development through playing and contributing to a MUD: https://tashian.com/articles/how-i-learned-to-program/
"Example Driven Development" using Glamorous and Pharo Smalltalk: https://medium.com/feenk/an-example-of-example-driven-development-4dea0d995920
Tests returning values and composing is a really interesting model. It establishes structure and shows which test failure is the most 'fundamental'.