本轮融资后的估值，使OpenAI基金会所持OpenAI集团股份价值增至1800亿美元以上。
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The N-closest or N-best dithering algorithm is a straightforward solution to the N-candidate problem. As the name suggests, the set of candidates is given by the closest palette colours to the input pixel. To determine their weights, we simply take the inverse of the distance to the input pixel. This is essentially the inverse distance weighting (IDW) method for multivariate interpolation, also known as Shepard’s method. The following pseudocode sketches out a possible implementation:
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She told us seeing the image was "one of the most exciting moments of my life".
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