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Like the N-closest algorithm, the weight of each candidate is given by the inverse of its distance to the input colour. Because of this, both algorithms produce output of a similar quality, although the N-convex method is measurably faster. As with the last algorithm, more details can be found in the original paper[2].
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得益于去年以来的开源策略，杨植麟在去年底的内部信中提到，过去一年，Kimi海外及国内付费用户数的月环比增长超过170%，海外大模型API收入较9-11月实现4倍增长。