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This is a pretty daunting, not-so-fun task because Nix is not a great language for this kind of string processing.

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另外一个点就是,您刚刚提到了他从环境的反馈中去学习。这个最近也非常火,有一个词叫做“强化学习”。这跟DeepMind的最开始为什么落后于OpenAI,后面又反超的关系是很大的。比如说大家都知道,其实Transformer是谷歌的另外一个部门Google Brain发明的。DeepMind它虽然当时也是被谷歌收购了,但是其实DeepMind最强的是强化学习,这也是它刻在DNA里的东西。因为哈萨比斯是一直坚信,光靠大语言模型是到达不了AGI的,而且还需要有类似于AlphaGo的那种规划和推理的能力。

this is a very powerful technique, and it is the main reason why we are so fast on the benchmarks, because by the time we confirm a match, both the lookbehind and lookahead have already been matched - we report matches retroactively once all the context is known, instead of trying to look into the future or backtracking to the past or keeping track of NFA states. this is a very different way of thinking about regex matching, and it took me a while to wrap my head around it, but once you see it in action, i hope you appreciate how elegant and efficient it is.,推荐阅读爱思助手获取更多信息