HockeyStick #3 - Generative AI with Mark Liu

HockeyStick Show

Exploring the Frontiers of Generative AI with Mark Liu

In this episode of HockeyStick, host Miko Pawlikowski interviews Mark Liu, a finance professor and seasoned coder, to dive into the world of Generative AI. Liu, author of 'Learn Generative AI with PyTorch', shares his journey from finance to AI, emphasizing the importance of coding in modern finance and his transition to Python for teaching analytics. He recounts the creation of his books, starting with Python applications in finance, moving to machine learning and generative AI, and finally to PyTorch for efficient model training. The conversation explores the basics of generative AI, breakthroughs like GANs, transformers, and diffusion models, and Liu's predictions for AI's impact on future jobs and technology development. They discuss the significance of generative AI in various industries, ethical considerations, and the potential directions for Liu's future work, highlighting the critical role of hands-on learning in understanding and leveraging AI technologies.

00:00 Welcome to HockeyStick: The Generative AI Revolution

00:25 Meet Mark Liu: From Finance to AI Pioneer

02:56 The Journey of Learning and Teaching Python

08:00 Exploring Generative AI and PyTorch

10:39 The Magic of Generative AI: From Text to Lifelike Images

14:50 The Impact of AI on Industries and Job Security

21:18 Understanding the Breakthroughs Behind Generative AI

34:16 The Role of Hardware and Data in AI's Rapid Advancement

37:15 Exploring the Versatility of GPUs

38:17 The Future of AI: Predictions and Possibilities

39:49 Navigating the Hype Cycle of AI

42:09 Ethical Considerations and the Future of AI Regulation

45:39 The Impact of AI on Politics and Elections

46:58 The OpenAI Controversy: From Open Source to For-Profit

51:02 PyTorch vs. TensorFlow: Predicting the Future

54:21 A Deep Dive into Generative AI and PyTorch

01:14:22 Future Projects and Closing Thoughts