Once the image is generated, we can do pretty much whatever we want with it: use it to generate a .qcow2 image for a VM, couple it with anaconda to do a bare-metal installation, store it in an image registry to deploy on cloud servers, etc.
作为 RLHF 方面的专家，Lambert 认为，当前最顶尖的模型训练，已经高度依赖强化学习（RL）。而 RL 和蒸馏在本质上是两种不同的事情：
。下载安装 谷歌浏览器 开启极速安全的 上网之旅。是该领域的重要参考
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Елизавета Гринберг (редактор)
"The entire sequence of Artemis flights needs to represent a step-by-step build-up of capability, with each step bringing us closer to our ability to perform the landing missions. Each step needs to be big enough to make progress, but not so big that we take unnecessary risk given previous learnings."