Gradient Dissent: Conversations on AI

A podcast by Lukas Biewald - Thursdays

Thursdays

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117 Episodes

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

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

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

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

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

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

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

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

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

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

    Published: 9/06/2022
  11. Johannes Otterbach — Unlocking ML for Traditional Companies

    Published: 12/05/2022
  12. Mircea Neagovici — Robotic Process Automation (RPA) and ML

    Published: 21/04/2022
  13. Jensen Huang — NVIDIA’s CEO on the Next Generation of AI and MLOps

    Published: 3/03/2022
  14. Peter & Boris — Fine-tuning OpenAI's GPT-3

    Published: 10/02/2022
  15. Ion Stoica — Spark, Ray, and Enterprise Open Source

    Published: 20/01/2022
  16. Stephan Fabel — Efficient Supercomputing with NVIDIA's Base Command Platform

    Published: 6/01/2022
  17. Chris Padwick — Smart Machines for More Sustainable Farming

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

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

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

    Published: 5/11/2021

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Join Lukas Biewald on Gradient Dissent, an AI-focused podcast brought to you by Weights & Biases. Dive into fascinating conversations with industry giants from NVIDIA, Meta, Google, Lyft, OpenAI, and more. Explore the cutting-edge of AI and learn the intricacies of bringing models into production.

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