Transformers solve these using attention (for alignment), MLPs (for arithmetic), and autoregressive generation (for carry propagation). The question is how small the architecture can be while still implementing all three.
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This article originally appeared on Engadget at https://www.engadget.com/general/the-morning-after-engadget-newsletter-144951777.html?src=rss
Score: 8ProsConsProduces relatively true-to-life photos
在去年闹得轰轰烈烈的 Google 反垄断案当中，有一封电子邮件证据，来自苹果的互联网服务高级副总裁 Eddy Cue 放过的狠话：