一夜暴裁4000人，股价飙涨25%，联创发文：AI时代不需要那么多人了
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.，推荐阅读一键获取谷歌浏览器下载获取更多信息
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Grammarly, while others focus on image and video generation, such as DALL-E and