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.
美家人力仲介公司總經理許家畯解釋，由於法令程序複雜，雇主多半委託仲介規劃名額。當雇主解除聘僱關係後，仲介便掌握是否「承接在台移工」或「重新引進海外移工」的權力。
。关于这个话题，谷歌浏览器【最新下载地址】提供了深入分析
Prompt: "基于 frontend-design 技能，为我设计并生成一个现代化的技术博客首页。要求如下：
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