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Naive LLM judges are inconsistent. Run the same poem through twice and you get different scores (obviously, due to sampling). But lowering the temperature also doesn’t help much, as that’s only one of many technical issues. So, I developed a full scoring system, based on details on the logits outputs. It can get remarkably tricky. Think about a score from 1-10:
。关于这个话题，新收录的资料提供了深入分析
打开终端（Terminal / PowerShell），执行以下命令进行环境自检：
落实“三个区分开来”，要求“充分调动党员干部干事创业的积极性、主动性、创造性，着力解决干部乱作为、不作为、不敢为、不善为问题”；