Super Data Science: ML & AI Podcast with Jon Krohn

513: Transformers for Natural Language Processing

Oct 12, 2021
Guest
Denis Rothman
Denis Rothman, author of books on NLP and explainable AI, discusses transformers' applications, his book on explainable AI, AI by Example, and answers LinkedIn audience questions. Topics include ethical data handling, trillion-parameter transformer models, and exploring transformer architectures like GPT-3 and BERT for NLP tasks.
Ask episode
Chapters
Transcript
Episode notes
1
Intro
00:00 • 3min
2
Life in France: From Champagne to Paris
02:32 • 4min
3
Evolution of Transformers in Natural Language Processing
06:45 • 24min
4
Ethical Data Handling and AI for Job Fit Predictions
30:47 • 14min
5
Exploring the Need for Trillions of Parameters in Transformer Models for Language Processing
44:48 • 4min
6
Complexity of Models in Natural Language Processing and Nature
48:43 • 2min
7
Exploring Transformer Architectures for Natural Language Processing
50:31 • 4min