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.
“人民对美好生活的向往,就是我们的奋斗目标。”
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是囿于一时一事的得失,还是着眼打基础、利长远的实绩?
Consider the size of the group