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Ray 分布式机器学习:利用Ray 进行大模型的数据处理、训练、推理和部署
book

Ray 分布式机器学习:利用Ray 进行大模型的数据处理、训练、推理和部署

by Max Pumperla, Edward Oakes, Richard Liaw
May 2024
Intermediate
252 pages
5h 31m
Chinese
China Machine Press
Content preview from Ray 分布式机器学习:利用Ray 进行大模型的数据处理、训练、推理和部署
220
11
Ray 生态及其他
至此,你已经学习了
Ray
生态的许多示例。本章采用更系统的方法向你展示
Ray
目前可用的所有集成。我们将从
Ray AIR
的视角介绍
Ray
的生态,以便从
AIR
工作流的角度进行讨论。
不过,对于
Ray
生态中的大多数库,我们无法一一提供具体的代码示例,只
能提供另一个
Ray AIR
示例来展示一些集成,并讨论其他可用的集成以及
如何使用它们。在适当的情况下,我们将指出更高级的资源,以加深你的
理解。
现在你已经对
Ray
及其库有了更多了解,本章也比较了
Ray
和类似的系统。
正如介绍的内容,
Ray
的生态非常复杂,可以从不同的角度切入,并用于不
同的用途。这意味着
Ray
的许多方面都可以与市场上的其他工具进行比较。
我们还将介绍如何将
Ray
集成到现有的
ML
平台上的复杂工作流中。最后,我
们将给出一些继续学习
Ray
的建议。
可从
GitHub
下载本章的
notebook
https://oreil.ly/mUrmi
)。
 
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Publisher Resources

ISBN: 9787111753384