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.
“靠山吃山唱山歌，靠海吃海念海经”。“十四五”时期，全国832个脱贫县均培育形成了2至3个优势突出、带动能力强的主导产业，总产值超过1.7万亿元。
。关于这个话题，51吃瓜提供了深入分析
The exact sequence of API calls to use is arcane, and there are multiple ways to perform this process, each of which has different tradeoffs that are not clear to most developers. This process generally just needs to be memorized or generated by a tool for you.
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