<em>Perspective</em>: Multi-shot LLMs are useful for literature summaries, but humans should remain in the loop

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(二)非法买卖、运输、携带、持有少量未经灭活的罂粟等毒品原植物种子或者幼苗的;

what will it do,更多细节参见Line官方版本下载

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Судья Мартин Эдмундс, уже выписавший ордер на арест, выразил сомнение в достоверности медицинской справки, отметив, что она не доказывает, что обвиняемый не в состоянии путешествовать. Прокурор намекнул на возможность заочного процесса, однако суд отложил дело как минимум до июня.

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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.