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.
"We'd have to do some more analysis, but it's probably bronze," she says. "Also we think it was possibly gilded, which would be a coating of gold over the top."
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В Санкт-Петербурге из земли внезапно забил фонтан из-за аварии. Внимание на это обратил Telegram-канал «Фонтанка SPB Online».
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情绪接纳先于行为纠正：当孩子哭闹时，先抱抱，再说「我理解」，而不是急着讲道理。