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Hello. I have recently been spending a lot of time dithering. In image processing, dithering is the act of applying intentional perturbations or noise in order to compensate for the information lost during colour reduction, also known as quantisation. In particular, I’ve become very interested in a specific type of dithering and its application to colour palettes of arbitrary or irregular colour distributions. Before going into detail however, let’s briefly review the basics of image dithering.

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以 DeepSeek 自己做的蒸馏尝试为例:基于隔壁千问蒸馏自家的 R1 模型后得到的 DeepSeek-R1-Distill-Qwen 1.5B 这个小模型,仅靠 7000 条样本和极低的计算成本,就在 AIME24 数学竞赛基准上超越了 OpenAI 的 o1-preview。,这一点在51吃瓜中也有详细论述

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