Artwork

内容由Charlie You提供。所有播客内容(包括剧集、图形和播客描述)均由 Charlie You 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal
Player FM -播客应用
使用Player FM应用程序离线!

The Future of ML and AI Infrastructure and Ethics with Dan Jeffries (Pachyderm, AI Infrastructure Alliance)

1:36:50
 
分享
 

Manage episode 287514609 series 2849409
内容由Charlie You提供。所有播客内容(包括剧集、图形和播客描述)均由 Charlie You 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal

Dan Jeffries is the chief technical evangelist at Pachyderm, a leading data science platform. He's a prominent writer and speaker on all things related to the future. He's been in software for over two decades, many of those at Redhat, and is the founder of the AI Infrastructure Alliance and Practical AI Ethics.

Learn more about Dan:

https://twitter.com/Dan_Jeffries1

https://medium.com/@dan.jeffries

Every Thursday I send out the most useful things I’ve learned, curated specifically for the busy machine learning engineer. Sign up here: http://cyou.ai/newsletter

Follow Charlie on Twitter: https://twitter.com/CharlieYouAI

Subscribe to ML Engineered: https://mlengineered.com/listen

Comments? Questions? Submit them here: http://bit.ly/mle-survey

Take the Giving What We Can Pledge: https://www.givingwhatwecan.org/

Timestamps:

02:15 How Dan got started in computer science

06:50 What Dan is most excited about in AI

14:45 Where we are in the adoption curve of ML

20:40 The "Canonical Stack" of ML

32:00 Dan's goal for the AI Infrastructure Alliance

40:55 "Problems that ML startups don't know they're going to have"

49:00 Closed vs open source tools in the Canonical Stack

01:00:05 Building out the "boring" part of the infrastructure to enable exciting applications

01:08:40 Dan's practical approach to AI Ethics

01:23:50 Rapid fire questions

Links:

Pachyderm

AI Infrastructure Alliance

Practical AI Ethics Alliance

Rise of the Canonical Stack in Machine Learning

Rise of AI - The Age of AI in 2030

Google Magenta

AlphaGo Documentary

Thinking in Bets

A History of the World in 6 Glasses

Super-Thinking

  continue reading

32集单集

Artwork
icon分享
 
Manage episode 287514609 series 2849409
内容由Charlie You提供。所有播客内容(包括剧集、图形和播客描述)均由 Charlie You 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal

Dan Jeffries is the chief technical evangelist at Pachyderm, a leading data science platform. He's a prominent writer and speaker on all things related to the future. He's been in software for over two decades, many of those at Redhat, and is the founder of the AI Infrastructure Alliance and Practical AI Ethics.

Learn more about Dan:

https://twitter.com/Dan_Jeffries1

https://medium.com/@dan.jeffries

Every Thursday I send out the most useful things I’ve learned, curated specifically for the busy machine learning engineer. Sign up here: http://cyou.ai/newsletter

Follow Charlie on Twitter: https://twitter.com/CharlieYouAI

Subscribe to ML Engineered: https://mlengineered.com/listen

Comments? Questions? Submit them here: http://bit.ly/mle-survey

Take the Giving What We Can Pledge: https://www.givingwhatwecan.org/

Timestamps:

02:15 How Dan got started in computer science

06:50 What Dan is most excited about in AI

14:45 Where we are in the adoption curve of ML

20:40 The "Canonical Stack" of ML

32:00 Dan's goal for the AI Infrastructure Alliance

40:55 "Problems that ML startups don't know they're going to have"

49:00 Closed vs open source tools in the Canonical Stack

01:00:05 Building out the "boring" part of the infrastructure to enable exciting applications

01:08:40 Dan's practical approach to AI Ethics

01:23:50 Rapid fire questions

Links:

Pachyderm

AI Infrastructure Alliance

Practical AI Ethics Alliance

Rise of the Canonical Stack in Machine Learning

Rise of AI - The Age of AI in 2030

Google Magenta

AlphaGo Documentary

Thinking in Bets

A History of the World in 6 Glasses

Super-Thinking

  continue reading

32集单集

所有剧集

×
 
Loading …

欢迎使用Player FM

Player FM正在网上搜索高质量的播客,以便您现在享受。它是最好的播客应用程序,适用于安卓、iPhone和网络。注册以跨设备同步订阅。

 

快速参考指南