Super Data Science: ML & AI Podcast with Jon Krohn 687: Generative Deep Learning, with David Foster
Jun 13, 2023
David Foster, a data scientist specializing in generative AI for music, discusses topics like generative vs discriminative modeling, autoencoders, noise in generative AI, CLIP models, world models, and transformers. He explores the potential of generative AI in music composition and image generation, as well as the risks and progress of advanced AI models. Foster also explains the application of generative AI beyond music, such as text-to-image, text-to-code, and reinforcement learning.
Chapters
Transcript
Episode notes
1 2 3 4 5 6 7 8 9 10 11 12 13
Intro
00:00 • 3min
Generative Models in AI and the Evolution of Generative Deep Learning
02:34 • 14min
Exploring Applications of Generative AI
16:26 • 2min
Exploring Generative AI Applications and Models
18:01 • 10min
Exploring the Risks and Progress of Advanced AI Models
27:52 • 2min
Mitigating Risks of Disinformation and Fake Content with AI Technology
30:14 • 15min
Exploring the Future of AI Interactions and Variational Autoencoders
45:01 • 2min
Diffusion, Clip Models, and World Models in Generative AI
46:36 • 22min
Writing a Book with Newborn Baby & Deep Learning with Transformers
01:08:49 • 11min
Exploring Generative AI in Music Composition and Image Generation
01:19:50 • 17min
Discussion on Hiring Criteria and Tech Stack for Data Roles
01:36:58 • 5min
Exploring Ways to Follow the Guest and Introduction of a New Podcast
01:41:39 • 2min
Exploration of Generative Deep Learning Techniques
01:43:20 • 3min