Gradient Dissent: Conversations on AI

107 Episodo

1. Johannes Otterbach — Unlocking ML for Traditional Companies

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

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

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

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

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

   Publicado: 6/1/2022
7. Chris Padwick — Smart Machines for More Sustainable Farming

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

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

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

    Publicado: 5/11/2021
11. Pete Warden — Practical Applications of TinyML

    Publicado: 21/10/2021
12. Pieter Abbeel — Robotics, Startups, and Robotics Startups

    Publicado: 7/10/2021
13. Chris Albon — ML Models and Infrastructure at Wikimedia

    Publicado: 23/9/2021
14. Emily M. Bender — Language Models and Linguistics

    Publicado: 9/9/2021
15. Jeff Hammerbacher — From data science to biomedicine

    Publicado: 26/8/2021
16. Josh Bloom — The Link Between Astronomy and ML

    Publicado: 20/8/2021
17. Xavier Amatriain — Building AI-powered Primary Care

    Publicado: 30/7/2021
18. Spence Green — Enterprise-scale Machine Translation

    Publicado: 16/7/2021
19. Roger & DJ — The Rise of Big Data and CA's COVID-19 Response

    Publicado: 8/7/2021
20. Amelia & Filip — How Pandora Deploys ML Models into Production

    Publicado: 1/7/2021