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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.。关于这个话题，safew官方下载提供了深入分析
。业内人士推荐safew官方版本下载作为进阶阅读
本内容由作者授权发布，观点仅代表作者本人，不代表虎嗅立场。
help users create more accurate and consistent content，这一点在safew官方版本下载中也有详细论述
int minIdx = i; // 假设当前位置是最小值