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

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

   Vom: 9.10.2023
2. Pushing Back on AI Hype with Alex Hanna - #649

   Vom: 2.10.2023
3. Personalization for Text-to-Image Generative AI with Nataniel Ruiz - #648

   Vom: 25.9.2023
4. Ensuring LLM Safety for Production Applications with Shreya Rajpal - #647

   Vom: 18.9.2023
5. What’s Next in LLM Reasoning? with Roland Memisevic - #646

   Vom: 11.9.2023
6. Is ChatGPT Getting Worse? with James Zou - #645

   Vom: 4.9.2023
7. Why Deep Networks and Brains Learn Similar Features with Sophia Sanborn - #644

   Vom: 28.8.2023
8. Inverse Reinforcement Learning Without RL with Gokul Swamy - #643

   Vom: 21.8.2023
9. Explainable AI for Biology and Medicine with Su-In Lee - #642

   Vom: 14.8.2023
10. Transformers On Large-Scale Graphs with Bayan Bruss - #641

    Vom: 7.8.2023
11. The Enterprise LLM Landscape with Atul Deo - #640

    Vom: 31.7.2023
12. BloombergGPT - an LLM for Finance with David Rosenberg - #639

    Vom: 24.7.2023
13. Are LLMs Good at Causal Reasoning? with Robert Osazuwa Ness - #638

    Vom: 17.7.2023
14. Privacy vs Fairness in Computer Vision with Alice Xiang - #637

    Vom: 10.7.2023
15. Unifying Vision and Language Models with Mohit Bansal - #636

    Vom: 3.7.2023
16. Data Augmentation and Optimized Architectures for Computer Vision with Fatih Porikli - #635

    Vom: 26.6.2023
17. Mojo: A Supercharged Python for AI with Chris Lattner - #634

    Vom: 19.6.2023
18. Stable Diffusion and LLMs at the Edge with Jilei Hou - #633

    Vom: 12.6.2023
19. Modeling Human Behavior with Generative Agents with Joon Sung Park - #632

    Vom: 5.6.2023
20. Towards Improved Transfer Learning with Hugo Larochelle - #631

    Vom: 29.5.2023