May 2024
Intermediate
252 pages
5h 31m
Chinese
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
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Ray
生态及其他
|
237
数据看板
注
16
的介绍。
1
本书的重点是向机器学习开发者介绍
Ray
的核心思想，并提供使用
Ray
处理
AI
任务的入口。然而，构建、扩展和维护
Ray
集群也是关键主题。目前，了解高
级
Ray
集群的最佳入门材料是
Ray
文档（
https://oreil.ly/SGa9w
）。你可以在文
档中学习如何在所有主要云提供商上部署集群、如何在
Kubernetes
上扩展集群，
以及如何向集群提交
Ray
作业。
在本章中，我们只是简单提及了大部分
Ray
集成。如果你想了解关于
Ray
的第
三方集成的更多内容，可查看
Ray
的生态页面（
https://oreil.ly/5wqYZ
）。此外，
还有许多
Ray
库（
https://oreil.ly/Yt5hX
）可供使用，但本书未涵盖，比如
Ray
Workflows
和
Python
multiprocessing
的分布式替代库。
最后，如果你有兴趣成为
Ray
社区的一员，可以加入
Ray Slack
（
https://oreil.
ly/a83QM
）与
Ray
开发人员和其他社区成员取得联系，或者加入
Ray
论坛
（
https://discuss.ray.io
）获取解答。如果你想协助开发
Ray
，无论是为文档做贡
献、添加新的用例，还是为开源社区提供新功能或修复错误，可查看
Ray
的官
方贡献者指南（
https://oreil.ly/6AgiE
）。
11.4
总结
在本章中，你从
AI Runtime
的角度了解了更多关于
Ray
生态的内容。你学习了
Ray AIR
库的完整范畴，以及使用三种不同的集成方式来训练和服务 ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.