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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圖像加註文字，班德（右）在克林頓任內與卸任後都是他的主要助手——照片中，他在 2001 年克林頓卸任的第一天陪同在側愛潑斯坦文件中的電子郵件顯示，班德尋求麥克斯韋協助撮合人脈，有利於「克林頓全球倡議」。
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Мощный удар Израиля по Ирану попал на видео09:41。下载安装 谷歌浏览器 开启极速安全的 上网之旅。对此有专业解读
Российский певец и шоумен Прохор Шаляпин признался, что ненавидит кастинги, поскольку неудачи сильно бьют по его самолюбию. Его комментарий приводит «Пятый канал».