Achieving 2.4kbps audio encoding of speech with decent quality! https://auphonic.com/blog/2018/06/01/codec2-podcast-on-floppy-disk/
Discusses applying machine learning to the decoder with extremely impressive results.
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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/
I've released difftastic 0.65! Highlights of this release:
* Better parsing of Clojure, Common Lisp, Kotlin, Rust and Zig.
* Quality of life improvements for binary files.
https://github.com/Wilfred/difftastic/releases/tag/0.65.0