An LLM prompted to “implement SQLite in Rust” will generate code that looks like an implementation of SQLite in Rust. It will have the right module structure and function names. But it can not magically generate the performance invariants that exist because someone profiled a real workload and found the bottleneck. The Mercury benchmark (NeurIPS 2024) confirmed this empirically: leading code LLMs achieve ~65% on correctness but under 50% when efficiency is also required.
The hog-raising worksheet from "VisiCalc on the Apple 2" and the CP/M games database from "dBASE on the Kaypro II" both translated well, though the database didn't bring over my boolean field contents (they were all blank).Applause-worthy?In the top-level menu is the shiny new Graph option, the "2" in "1-2-3." I know exactly what I want: a pie chart of game software genres imported from dBase II.，详情可参考WhatsApp Web 網頁版登入
«Это станет катастрофой». Как США хотят взять под контроль Ормузский пролив и может ли Иран этому помешать?00:10，推荐阅读手游获取更多信息
国家近期出台了电网侧储能的容量电价，预计今年电网侧储能会有一个爆发式增长。，这一点在whatsapp中也有详细论述