Chris Albon — ML Models and Infrastructure at Wikimedia

Gradient Dissent: Conversations on AI

Lukas Biewald에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Lukas Biewald 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.

2+ y ago 56:15

MP3•에피소드 홈

In this episode we're joined by Chris Albon, Director of Machine Learning at the Wikimedia Foundation.

Lukas and Chris talk about Wikimedia's approach to content moderation, what it's like to work in a place so transparent that even internal chats are public, how Wikimedia uses machine learning (spoiler: they do a lot of models to help editors), and why they're switching to Kubeflow and Docker. Chris also shares how his focus on outcomes has shaped his career and his approach to technical interviews.

Show notes: http://wandb.me/gd-chris-albon

---

Connect with Chris:

- Twitter: https://twitter.com/chrisalbon

- Website: https://chrisalbon.com/

---

Timestamps:

0:00 Intro

1:08 How Wikimedia approaches moderation

9:55 Working in the open and embracing humility

16:08 Going down Wikipedia rabbit holes

20:03 How Wikimedia uses machine learning

27:38 Wikimedia's ML infrastructure

42:56 How Chris got into machine learning

46:43 Machine Learning Flashcards and technical interviews

52:10 Low-power models and MLOps

55:58 Outro

103 에피소드

#Lukas Biewald #Artificial Intelligence #Tech #Gradient Dissent Is A Machine Learning #Machine Learning