

Building AI Data Responsibly with Edouard d’Archimbaud - ML 081
Jul 21, 2022
Chapters
Transcript
Episode notes
1 2 3 4 5 6 7 8 9 10 11 12 13 14
Introduction
00:00 • 2min
Are We Building More Data-Centric AI?
01:42 • 4min
How to Define Clean Data and Data Are Diverse
05:14 • 3min
Data Is the New Cut for AI Development
08:15 • 3min
What Is the Story Behind Kiwi?
11:18 • 4min
How Does the Labeler and the Model Work Together?
15:26 • 3min
Machine Engineering
18:54 • 3min
How to Refine the Performance of the Data Sources
22:21 • 3min
How to Create Trustworthy AI?
24:52 • 5min
How to Visualize the Contribution of the Tokens in the Context of the Entity
29:28 • 2min
The Challenge Today Is Having the Tooling to Navigate the Data
31:11 • 2min
Is Scaling a Good Idea?
32:52 • 3min
Do You Have a Link Team Data Review?
36:14 • 2min
Is Killy the One Set of High Salary?
38:09 • 3min