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.
2024年发生的那次爱达魔都号暑期惨跌就是例证——船公司定价过高，遇冷后不干预，代理商被迫亏本40%“放血”，市场陷入混战。
。关于这个话题，safew官方下载提供了深入分析
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It offers high ROI(Return on investment) and is cost-effective.
At its heart was the most complete battle trumpet, or carnyx, ever found in Europe - and the first-ever boar's head flag standard to be found in Britain.