This also applies to LLM-generated evaluation. Ask the same LLM to review the code it generated and it will tell you the architecture is sound, the module boundaries clean and the error handling is thorough. It will sometimes even praise the test coverage. It will not notice that every query does a full table scan if not asked for. The same RLHF reward that makes the model generate what you want to hear makes it evaluate what you want to hear. You should not rely on the tool alone to audit itself. It has the same bias as a reviewer as it has as an author.
[사설]‘사법개혁 3법’ 통과… 법집행자들의 良識으로 부작용 줄여야
，推荐阅读新收录的资料获取更多信息
在新闻事件领域，9月美国保守派活动人士查理·柯克在犹他谷大学一场活动中遭枪击身亡的消息成为全球第三大热搜，占据了各大媒体头条，引发大量搜索，并衍生出各类争议讨论。伊朗地缘政治局势、国际冲突等话题同样被频繁地搜索。此外，美国历史上持续时间最长的政府停摆和年初加利福尼亚州爆发的森林火灾也引发搜索热潮，凸显了这些事件在全球范围受到广泛关注。。新收录的资料对此有专业解读
cutlet say(cities-to-temps)。新收录的资料是该领域的重要参考
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