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.
第九十八条 询问笔录应当交被询问人核对；对没有阅读能力的，应当向其宣读。记载有遗漏或者差错的，被询问人可以提出补充或者更正。被询问人确认笔录无误后，应当签名、盖章或者按指印，询问的人民警察也应当在笔录上签名。
，这一点在Line官方版本下载中也有详细论述
圖像來源，AFP via Getty Images
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Таким образом, «Зенит» набрал 42 очка в 19 матчах. Команда Семака вышла на промежуточное первое место в турнирной таблице. В следующем туре петербуржцы сыграют 8 марта на выезде с «Оренбургом».