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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.
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OsmAnd has always been about putting you in control. Our original A* routing engine, configurable via routing.xml, offered immense power. You could define intricate profiles, avoid specific road types, and truly personalize your journey. With maps optimized for minimal storage (the entire planet's car data for our new HH-routing is around a mere 800MB!), OsmAnd was a lean, mean navigating machine.
委员长会议决定，将常委会工作报告稿等交付十四届全国人大常委会第二十一次会议闭幕会表决。
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楊振年形容情況「比較兩極」：「喜歡寵物就喜歡，但有些人會比較抗拒，可能會害怕。所以我們就覺得現階段政府這個安排，多是給我們餐廳自己去選擇。」
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