Optimising the Dart VM, performance cliffs, and the amazing number of string representations in V8: https://mrale.ph/blog/2016/11/23/making-less-dart-faster.html
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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!
I've been using "Expected Int, but got String" for my type error messages, but I've been wondering if I could do better.
"Expected Int here, but this value has type String" or "This expression requires Int, but the value is String".
Do you have a favourite?
It's so strange that we talk about languages being slow, and have done for years. Computer performance has increased so much in this time.
https://hbfs.wordpress.com/2009/11/10/is-python-slow/ (shared on HN in 2009) discusses Python being slow. My underpowered Thinkpad has 20x the single-threaded performance! https://www.cpubenchmark.net/compare/73vs3766/AMD-Athlon-64-4000+-vs-AMD-Ryzen-5-PRO-4650U
Maybe *relative* performance of languages matters more?