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ChatGPT and other generative ML systems represent a step change in AI use cases, prompting questions on material for pattern generation and tolerances for error (Benedict Evans)

Photo of Grace Will Grace Will December 15, 2022
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ChatGPT and other generative ML systems represent a step change in AI use cases, prompting questions on material for pattern generation and tolerances for error (Benedict Evans)
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Benedict Evans:

ChatGPT and other generative ML systems represent a step change in AI use cases, prompting questions on material for pattern generation and tolerances for error  —  A decade or so ago, systems based on something called ‘machine learning’ started producing really good results in Imagenet, a contest for computer vision researchers.



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