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.
城市表情时间：12月22日地点：北海公园场景：一群野鸭和鸳鸯在冰面上时而戏水玩耍，时而打盹晒太阳，萌态十足。图/IC photoSourcePh" style="display:none"
。服务器推荐是该领域的重要参考
Москвичи пожаловались на зловонную квартиру-свалку с телами животных и тараканами18:04，详情可参考heLLoword翻译官方下载
Москвичи пожаловались на зловонную квартиру-свалку с телами животных и тараканами18:04
这里是一个简单的 proto 文件示例，它定义了一个账户消息类型：