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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.，详情可参考服务器推荐
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黎已還押逾5年，其餘8人則還押逾4年。今次是香港首宗「勾結罪」案件判刑，案件於2023年12月開審，審訊歷時156日，由三名國安法指定法官審理。