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  • To start vs to get started - English Language Usage Stack Exchange
    In this way, how to get started would be less formal and much more conversational than how to start Aside from the formal informal distinction, there is a slightly different meaning between start and get started
  • get starting 与 get started 有何区别? - 知乎
    The basic difference is that 'let's get started' is right, and 'let's get starting' is wrong, it's not possible However, you can say: 'let's get going' The problem is (I think!) that let's get + ~ing implies duration I can only explain by suggesting that "to start" is such an instantaneous action that it is difficult to imagine it as having duration Once you start, you have started - it is
  • What is the difference between Getting Started and Get Started
    Both are perfectly acceptable Getting started implies a description of the process, Get started is a suggestion to the reader to do so, obviously to be followed by instructions
  • word usage - Can I replace get started on with start? - English . . .
    In the given example, yes, you can replace get started on with start I should start that sooner rather than that later However, the two are not always interchangeable Michael Owen Sartin wrote in a comment: There is a slight difference between 'start' and 'start on ' One can start an engine, and the engine will be running If one starts on an engine, the implication is that he is beginning
  • Kaggle如何入门? - 知乎
    目前仍然相对少见。 4)Getting Started(练习项目):这些竞赛的结构和 Featured 竞赛类似,但没有奖金。 它们有更简单的数据集、大量教程。 如果你从未独立做过一个数据分析相关的项目,就从Getting Started(练习项目)开始入门。
  • 有没有介绍LLVM的书籍可以推荐?最好是中文的 - 知乎
    目前LLVM的书共有十一本,其中有五本为中文(或翻译为),具体如下: Getting Started with LLVM Core Libraries --Bruno Cardoso Lopes, Rafael Auler 中文版:《LLVM编译器实战教程》 LLVM编译器实战教程 京东 ¥61 30
  • getting started的getting是什么用法?为什么用ing形式? - 知乎
    getting started的getting是什么用法? 为什么用ing形式? 在很多的tutorial中的标题写的是getting started,有上面的疑问请教大佬们。 显示全部 关注者 1 被浏览
  • 英伟达拿出开源通用机器人模型 GR00T N1,对行业有什么影响? - 知乎
    GR00T N1全称是 通用人形机器人基础模型 (Generalist Humanoid Robot Foundation Model),这个开源模型具备很强的任务泛化能力,可 一套权重支持多种机器人形态(跨机体,cross-embodiment)和任务。例如,在无需为每个新任务从零训练的情况下,它已经掌握了 常见操作技能:单臂或双臂抓取物体、搬运、装配




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