Chapters
Transcript
Episode notes
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34
Introduction
00:00 • 2min
How to Use Generative AI at Home or at Your Business
01:41 • 2min
The Wild Side of Deep Learning
03:35 • 4min
The Importance of Manufacturing in China
08:05 • 4min
The Pros and Cons of Working in Healthcare
12:07 • 2min
How I Joined Amazon Music in SF
14:02 • 2min
The Pushback of Technology Changes
15:36 • 3min
AI Drake: The Most Popular Trending Person on Spotify
18:44 • 2min
The Differences Between the US and Israel
20:52 • 2min
The Differences Between California and Israel
22:45 • 3min
The Path From Amazon to AI
25:24 • 3min
PyTorch's Leverage Over MXNet
28:30 • 3min
The Importance of Building a Community
31:09 • 3min
Mosaic: A Startup in the US
33:49 • 2min
The Importance of Collaboration in a Small Company
35:20 • 2min
The Evolution of Generative AI
37:03 • 3min
The Future of Generative AI
39:35 • 2min
The Unsupervised Learning of Pokemon Go
41:51 • 6min
How to Train a Large-Language Model
47:44 • 2min
The Scaling Laws of Machine Learning
49:32 • 4min
How to Build a Code Assistant Model That Outperforms Other Models
53:13 • 2min
How to Get Access to Data on the Cloud
55:19 • 4min
The Future of Alchemy
59:08 • 3min
The Importance of Prompt Engineering
01:01:40 • 3min
How to Fine Tune Your Model to Follow Instructions
01:05:00 • 3min
How to Fine Tune a Model for Screenwriting
01:07:36 • 4min
PyTorch Modeling for Computer Vision
01:11:40 • 3min
How to Leverage LLMs to Build a Website
01:14:26 • 3min
The Cost of Running Complex Workloads
01:17:24 • 3min
The Importance of Privacy in Open AI
01:20:41 • 2min
The Cost of Open Source APIs
01:22:46 • 2min
Mosaic: A Startup Trying to Make AI More Accessible
01:24:16 • 4min
Mosaic: A Tool for Students
01:27:52 • 3min
The Evolution of the MPT Model
01:30:42 • 2min