Implementing a content refresh schedule helps manage this systematically. Rather than updating randomly when you remember, establish a process where high-value content gets reviewed quarterly or semi-annually. During these reviews, update statistics, add recent examples, remove dated references, and add the new update date. This structured approach ensures your most important content remains fresh without requiring constant attention to every article.
I wanted to test this claim with SAT problems. Why SAT? Because solving SAT problems require applying very few rules consistently. The principle stays the same even if you have millions of variables or just a couple. So if you know how to reason properly any SAT instances is solvable given enough time. Also, it's easy to generate completely random SAT problems that make it less likely for LLM to solve the problem based on pure pattern recognition. Therefore, I think it is a good problem type to test whether LLMs can generalize basic rules beyond their training data.
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希望对新手爸妈有一些参考作用，尤其是北京的宝爸宝妈。，这一点在im钱包官方下载中也有详细论述
第十八条 居民委员会成员候选人由社区党组织或者十名以上选民联合提名推荐。提名推荐候选人，应当从全体居民利益出发，推荐拥护中国共产党的领导、奉公守法、品行良好、公道正派、热心公益、具有一定文化水平和工作能力的人为候选人。被开除中国共产党党籍，因犯罪受过刑事处罚，利用黑恶势力从事非法活动，组织或者参加非法宗教活动或者邪教活动的，不得作为候选人。候选人的名额应当多于应选名额。居民选举委员会应当组织候选人与居民见面，由候选人介绍履行职责的设想，回答居民提出的问题。，更多细节参见Line官方版本下载
▲ Eddy Cue 与 Tim Cook