The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

728 Episodes

1. Scaling Multi-Modal Generative AI with Luke Zettlemoyer - #650

   Published: 10/9/2023
2. Pushing Back on AI Hype with Alex Hanna - #649

   Published: 10/2/2023
3. Personalization for Text-to-Image Generative AI with Nataniel Ruiz - #648

   Published: 9/25/2023
4. Ensuring LLM Safety for Production Applications with Shreya Rajpal - #647

   Published: 9/18/2023
5. What’s Next in LLM Reasoning? with Roland Memisevic - #646

   Published: 9/11/2023
6. Is ChatGPT Getting Worse? with James Zou - #645

   Published: 9/4/2023
7. Why Deep Networks and Brains Learn Similar Features with Sophia Sanborn - #644

   Published: 8/28/2023
8. Inverse Reinforcement Learning Without RL with Gokul Swamy - #643

   Published: 8/21/2023
9. Explainable AI for Biology and Medicine with Su-In Lee - #642

   Published: 8/14/2023
10. Transformers On Large-Scale Graphs with Bayan Bruss - #641

    Published: 8/7/2023
11. The Enterprise LLM Landscape with Atul Deo - #640

    Published: 7/31/2023
12. BloombergGPT - an LLM for Finance with David Rosenberg - #639

    Published: 7/24/2023
13. Are LLMs Good at Causal Reasoning? with Robert Osazuwa Ness - #638

    Published: 7/17/2023
14. Privacy vs Fairness in Computer Vision with Alice Xiang - #637

    Published: 7/10/2023
15. Unifying Vision and Language Models with Mohit Bansal - #636

    Published: 7/3/2023
16. Data Augmentation and Optimized Architectures for Computer Vision with Fatih Porikli - #635

    Published: 6/26/2023
17. Mojo: A Supercharged Python for AI with Chris Lattner - #634

    Published: 6/19/2023
18. Stable Diffusion and LLMs at the Edge with Jilei Hou - #633

    Published: 6/12/2023
19. Modeling Human Behavior with Generative Agents with Joon Sung Park - #632

    Published: 6/5/2023
20. Towards Improved Transfer Learning with Hugo Larochelle - #631

    Published: 5/29/2023