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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Tkachuk expresses regret over Trump joke
思路：找「右侧第一个 ≤ cur」的元素 → 弹出所有 cur 的元素，栈顶即为折扣。最终价格 = cur - 折扣（有则）或 cur（无则）。
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Адрес сайта в также указан не совсем корректно. В оригинале это — https://minpromtorg.gov.ru/. В то время как в фейковом документе — https://www.minpromtorg.gov.ru.。业内人士推荐旺商聊官方下载作为进阶阅读
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