We would expect a well calibrated model to have logits that make sense. If the highest weight was on ‘7’, we would expect the rest of the weight to be on ‘6’ and ‘8’ right? but often its bimodal, with low weight on 6 and ‘5’, but more weight than expected on ‘4’!We can write ‘10’ in tokens as either ‘10’ or ‘1’ and then ‘0’. Its not fun to have to calculate the summed probabilities over paths, especially if you wanted to score 1-100Rather than sampling a single discrete score, I treat the judge’s output as a distribution over valid rating labels and compute the final score as its expectation.
过去的自动化越狱攻击算法更多依靠频繁的尝试实现突围，往往要对模型进行50-90次以上的反复试探才能成功。。关于这个话题，WhatsApp Web 網頁版登入提供了深入分析
。业内人士推荐谷歌作为进阶阅读
Macros can mix HAL English with native 1-2-3 macro commands.。业内人士推荐whatsapp作为进阶阅读
Grayscale Workhorse
Photograph: Simon Cohen