Gradient Dissent: Conversations on AI

117 Episodes

1. D. Sculley — Technical Debt, Trade-offs, and Kaggle

   Published: 12/1/2022
2. Emad Mostaque — Stable Diffusion, Stability AI, and What’s Next

   Published: 11/15/2022
3. Jehan Wickramasuriya — AI in High-Stress Scenarios

   Published: 10/6/2022
4. Will Falcon — Making Lightning the Apple of ML

   Published: 9/15/2022
5. Aaron Colak — ML and NLP in Experience Management

   Published: 8/26/2022
6. Jordan Fisher — Skipping the Line with Autonomous Checkout

   Published: 8/4/2022
7. Drago Anguelov — Robustness, Safety, and Scalability at Waymo

   Published: 7/14/2022
8. James Cham — Investing in the Intersection of Business and Technology

   Published: 7/7/2022
9. Boris Dayma — The Story Behind DALL·E mini, the Viral Phenomenon

   Published: 6/17/2022
10. Tristan Handy — The Work Behind the Data Work

    Published: 6/9/2022
11. Johannes Otterbach — Unlocking ML for Traditional Companies

    Published: 5/12/2022
12. Mircea Neagovici — Robotic Process Automation (RPA) and ML

    Published: 4/21/2022
13. Jensen Huang — NVIDIA’s CEO on the Next Generation of AI and MLOps

    Published: 3/3/2022
14. Peter & Boris — Fine-tuning OpenAI's GPT-3

    Published: 2/10/2022
15. Ion Stoica — Spark, Ray, and Enterprise Open Source

    Published: 1/20/2022
16. Stephan Fabel — Efficient Supercomputing with NVIDIA's Base Command Platform

    Published: 1/6/2022
17. Chris Padwick — Smart Machines for More Sustainable Farming

    Published: 12/23/2021
18. Kathryn Hume — Financial Models, ML, and 17th-Century Philosophy

    Published: 12/16/2021
19. Sean & Greg — Biology and ML for Drug Discovery

    Published: 12/2/2021
20. Chris, Shawn, and Lukas — The Weights & Biases Journey

    Published: 11/5/2021