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:
Tamriel Rebuilt
。同城约会是该领域的重要参考
按照 Anthropic 的指控，DeepSeek 的蒸馏数量最少，只有 15 万次，但手法更精准。与其直接收集答案，Anthropic 指控 DeepSeek 在做的是批量生产思维链 (chain-of-thought)训练数据。
Operating Systems
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