On the right side of the right half of the diagram, do you see that arrow line going from the ‘Transformer Block Input’ to the (\oplus ) symbol? That’s why skipping layers makes sense. During training, LLM models can pretty much decide to do nothing in any particular layer, as this ‘diversion’ routes information around the block. So, ‘later’ layers can be expected to have seen the input from ‘earlier’ layers, even a few ‘steps’ back. Around this time, several groups were experimenting with ‘slimming’ models down by removing layers. Makes sense, but boring.
В рыболовной сети нашли 15-метровую тушу редкого кита20:45
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在业务上，他进行了大刀阔斧的裁剪，UC浏览器、阿里音乐、阿里文学等业务相继被砍，资源向三大核心业务集中。