在我的演示应用中,我使用了 284 个示例,每个功能大约 90-100 个。多样性很重要:不仅仅是重复 94 次“把它变成红色”,而是不同的表达方式,例如“改成红色”、“设置背景为红色”、“我想要一个红色背景”、“请把背景变成红色”等等。模型需要了解真实用户是如何表达请求的。
But 82 pairs are pixel-identical
However, due to modern LLM postraining paradigms, it’s entirely possible that newer LLMs are specifically RLHF-trained to write better code in Rust despite its relative scarcity. I ran more experiments with Opus 4.5 and using LLMs in Rust on some fun pet projects, and my results were far better than I expected. Here are four such projects:。heLLoword翻译官方下载对此有专业解读
by splitting it in half: the astute reader will note that the size of a bucket is 16LL<<bucket and each larger bucket is twice the size of the,更多细节参见91视频
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