Gradient Dissent: Conversations on AI

107 Episodes

1. Deploying Autonomous Mobile Robots with Jean Marc Alkazzi at idealworks

   Published: 18/05/2023
2. How EleutherAI Trains and Releases LLMs: Interview with Stella Biderman

   Published: 4/05/2023
3. Scaling LLMs and Accelerating Adoption with Aidan Gomez at Cohere

   Published: 20/04/2023
4. Neural Network Pruning and Training with Jonathan Frankle at MosaicML

   Published: 4/04/2023
5. Shreya Shankar — Operationalizing Machine Learning

   Published: 3/03/2023
6. Jasper AI's Dave Rogenmoser & Saad Ansari on Growing & Maintaining an LLM-Based Company

   Published: 17/02/2023
7. Sarah Catanzaro — Remembering the Lessons of the Last AI Renaissance

   Published: 2/02/2023
8. Cristóbal Valenzuela — The Next Generation of Content Creation and AI

   Published: 19/01/2023
9. Jeremy Howard — The Simple but Profound Insight Behind Diffusion

   Published: 5/01/2023
10. Jerome Pesenti — Large Language Models, PyTorch, and Meta

    Published: 22/12/2022
11. D. Sculley — Technical Debt, Trade-offs, and Kaggle

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

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

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

    Published: 15/09/2022
15. Aaron Colak — ML and NLP in Experience Management

    Published: 26/08/2022
16. Jordan Fisher — Skipping the Line with Autonomous Checkout

    Published: 4/08/2022
17. Drago Anguelov — Robustness, Safety, and Scalability at Waymo

    Published: 14/07/2022
18. James Cham — Investing in the Intersection of Business and Technology

    Published: 7/07/2022
19. Boris Dayma — The Story Behind DALL·E mini, the Viral Phenomenon

    Published: 17/06/2022
20. Tristan Handy — The Work Behind the Data Work

    Published: 9/06/2022