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AWS AI Improves Its Accuracy According to Amazon
An interesting bit of jargon creeps into “On Benchmark Data Set, Question-Answering System Halves Error Rate.” That word is “transfer.” Amazon, it seems, is trying to figure out how to reuse data, threshold settings, and workflow outputs.
Think about IBM’s DeepBlue defeat of Gary Kasparov in 1996 or the IBM Watson thing allegedly defeating Ken Jenkins in 2011 without any help from post production or judicious video editing. Two IBM systems and zero “transfer” or more in more Ivory Towerish jargon “transference.”
Continue reading “Stephen E. Arnold: Amazon AI, Non-Transfer, & Future Cross-Correlation Issues”