

Algorithmic Data Curation
Feb 26, 2024
Explore the importance of data curation in AI models, challenges in data quality, removing types of data, relationship between data size and model size, choosing optimal data subset, future of data curation, impact on service providers. CEO of automated data curation platform shares insights. Estimating conceptual complexity algorithmically, automated data curation for ML training, exploring sector-specific approaches, optimizing model size and data size in ML.
Chapters
Transcript
Episode notes
1 2 3 4 5 6
Introduction
00:00 • 4min
Algorithmic Data Curation in Machine Learning
04:23 • 10min
Estimating Conceptual Complexity Algorithmically in Data Sets
14:19 • 2min
Automated Data Curation for Machine Learning Training
16:16 • 2min
Exploring Data Curation Approaches Across Sectors
17:49 • 2min
Optimizing Model Size and Data Size in Machine Learning
19:54 • 21min