TST_SEL_RET (0x02) -- used by far RET to detect cross-privilege returns:
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.
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展望2026年，在成本压力、国际竞争与消费分级等多重冲击持续叠加的背景下，中国民营酒店集团亟需找到各自的破局之道，在存量博弈中重塑竞争优势。，详情可参考搜狗输入法2026
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