Chris Albon — ML Models and Infrastructure at Wikimedia

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 Intro1:08 How Wikimedia approaches moderation9:55 Working in the open and embracing humility16:08 Going down Wikipedia rabbit holes20:03 How Wikimedia uses machine learning27:38 Wikimedia's ML infrastructure42:56 How Chris got into machine learning46:43 Machine Learning Flashcards and technical interviews52:10 Low-power models and MLOps55:58 Outro

Om Podcasten

Gradient Dissent is a machine learning podcast from Weights & Biases with hosts Lukas Biewald, Lavanya Shukla and Caryn Marooney. It takes you behind-the-scenes to learn how industry leaders are putting deep learning models in production at NVIDIA, Meta, Google, Lyft, OpenAI, and more.