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Pattern matching is checking a given set of data for the presence of the constituents of a given pattern. This is the principle behind large language models that drive generative AI. [[Pattern matching]] involves doing a huge number of not especially sophisticated operations as quickly as possible over as much data as possible. The reason Nvidia graphics chips are so successful is that they are set up for many simple parallel operations, where CPU chips are geared to make complicated sophisticated calculations ''in series''. | Pattern matching is checking a given set of data for the presence of the constituents of a given pattern. This is the principle behind large language models that drive generative AI. [[Pattern matching]] involves doing a huge number of not especially sophisticated operations as quickly as possible over as much data as possible. The reason Nvidia graphics chips are so successful is that they are set up for many simple parallel operations, where CPU chips are geared to make complicated sophisticated calculations ''in series''. | ||
A characteristic of either is the one-way interaction | A characteristic of either is the one-way interaction |