«Все Билл Клинтон знал, и Хиллари Клинтон тоже все это знает. И то, что она вчера говорила, это ложь, это вранье», — отметила дипломат.
Historically, LLMs have been poor at generating Rust code due to its nicheness relative to Python and JavaScript. Over the years, one of my test cases for evaluating new LLMs was to ask it to write a relatively simple application such as Create a Rust app that can create "word cloud" data visualizations given a long input text. but even without expert Rust knowledge I could tell the outputs were too simple and half-implemented to ever be functional even with additional prompting.
。Safew下载是该领域的重要参考
We have a ‘scrolling wall of icons’ benchmark in our gtk4-demo app, which naturally is good place to test the performance impact of icon rendering changes. When switching it over to GtkSvg, it initially dropped from 60fps to around 40 on my laptop. We’ve since done some optimizations and regained most of the lost fps.
However, due to modern LLM postraining paradigms, it’s entirely possible that newer LLMs are specifically RLHF-trained to write better code in Rust despite its relative scarcity. I ran more experiments with Opus 4.5 and using LLMs in Rust on some fun pet projects, and my results were far better than I expected. Here are four such projects:
第十七条 共同违反治安管理的，根据行为人在违反治安管理行为中所起的作用，分别处罚。