In recent years, LLMs have shown significant improvements in their overall performance. When they first became mainstream a couple of years before, they were already impressive with their seemingly human-like conversation abilities, but their reasoning always lacked. They were able to describe any sorting algorithm in the style of your favorite author; on the other hand, they weren't able to consistently perform addition. However, they improved significantly, and it's more and more difficult to find examples where they fail to reason. This created the belief that with enough scaling, LLMs will be able to learn general reasoning.
故见富豪家不伦不类之春联,叹云:诚当世之哀也。富贵者必骄,诚难怪也。有势拥财而不妄逞者,自古恒少,犹如身怀利刃,杀心自起。好比人拿个弹弓,总想射树上的鸟或树枝。记得袁随园有云,写诗有典而不用者,犹如有权势而不逞云。至于负天职知天而付诸践履者,自来罕见,至今尤绝迹矣!
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become more sophisticated and involves a great deal more XML. You can be
Eileen Collins made history as the first woman to pilot and command a Nasa spacecraft - but despite her remarkable achievements, not everyone will know her name.
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第一百三十六条 违反治安管理的记录应当予以封存,不得向任何单位和个人提供或者公开,但有关国家机关为办案需要或者有关单位根据国家规定进行查询的除外。依法进行查询的单位,应当对被封存的违法记录的情况予以保密。