Natural neighbour interpolation has a number of strengths over linear barycentric interpolation. Namely, it provides a smooth or continuous slope between samples3, and is always the same for a given point set, unlike the TIN where the quality of the triangulation can produce biases in the outcome, even in the best case.
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把 Claude 的输出直接喂给另一个架构的模型,不一定有效,有时甚至会产生干扰。两个模型内部表征空间的差异,会让「老师」的回答在「学生」那里引发意想不到的偏差。,推荐阅读WPS下载最新地址获取更多信息
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