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.
“심장 약하면 코스피 못 버텨” 월가 베테랑도 놀란 ‘널뛰기 지수’
，更多细节参见下载安装汽水音乐
# 'tail': {'text': 'Apple Inc.', 'confidence': 0.92}
Беспилотник атаковал гостиницу с американскими военными в ИракеБеспилотник атаковал гостиницу в иракском Эрбиле, где проживали военные США