Chapters
Transcript
Episode notes
1 2 3 4 5 6 7 8 9 10 11 12 13 14
Introduction
00:00 • 2min
How Did You Come Up With the Weight Watcher Tool?
02:25 • 3min
How to Evaluate a Model Without a Test Set
05:47 • 2min
Deep Learning and Scaling Properties of Large Language Models
07:33 • 3min
XGBoose - Should I Add More Features or Should I Tune More?
10:48 • 3min
Can You Give Us an Overview of the Weight Watcher Tool?
14:12 • 4min
Is Burt a Good Advance?
18:27 • 3min
Deep Learning - What Is It About Alpha?
21:25 • 4min
Is Weight Watcher GPU Optimized?
24:58 • 3min
Pippin's All Weight Watcher
27:37 • 3min
Using Weight Watcher in the Training Loop?
30:30 • 3min
Is There a Complex Optimization Problem?
33:05 • 3min
Building Open Source Community for Deep Learning
36:26 • 5min
What's the Future of the AI Community?
41:00 • 4min