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:
path := f"data/users/{id}.json";，这一点在新收录的资料中也有详细论述
。新收录的资料是该领域的重要参考
Что думаешь? Оцени!
This is intentionally boring and readable. No proprietary formats, no databases, no opaque state. Just text files you can open, edit, search, and commit.。关于这个话题，新收录的资料提供了深入分析