Luckily, Liang’s thesis also contains efficient algorithms to work
Here are common examples you'll run into across the difficulty levels:
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Interested readers can follow this approach to train detectors for other domains—even general-purpose ones. Build an AIGC detector for academic papers, slap on a flashy frontend, and sell it as an “AI plagiarism checker” to clueless undergrads. If you make money, don’t forget to donate a little.
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Since there was going to be next to no difference for game benchmarks yet provide a huge quality of life improvement, I went anachronic and purchased an obscene (for the time) amount of RAM.