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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When I'm not working, I like to cook and eat, especially Korean food. I like running, cycling, hiking, sailing, and canoeing. I play French horn. I'm also trying to learn to play tennis and pickleball and ukulele. I'm an Android enthusiast. A couple of years ago I started doing a lot with Android automations. More recently I’ve been experimenting with hosting servers and services at home.。业内人士推荐同城约会作为进阶阅读
第八十二条 以营利为目的，为赌博提供条件的，或者参与赌博赌资较大的，处五日以下拘留或者一千元以下罚款；情节严重的，处十日以上十五日以下拘留，并处一千元以上五千元以下罚款。
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