五大变化,存储芯片,竞争核心变了

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Most of the algorithms described here are quite straightforward to implement. Some of them can be written in just a few lines of code, and those that require a bit more effort can be better understood by reading through the relevant papers and links I have provided. The exception to this are those that rely on the Delaunay triangulation to work. Robust Delaunay triangulations in 3D are fairly complex and there isn’t any publicly available software that I’m aware of that leverages them for dithering in the way I’ve described.

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Self-attention is required. The model must contain at least one self-attention layer. This is the defining feature of a transformer — without it, you have an MLP or RNN, not a transformer.

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