Gradient Dissent: Conversations on AI

En podcast af Lukas Biewald - Torsdage

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114 Episoder

  1. Will Falcon — Making Lightning the Apple of ML

    Udgivet: 15.9.2022
  2. Aaron Colak — ML and NLP in Experience Management

    Udgivet: 26.8.2022
  3. Jordan Fisher — Skipping the Line with Autonomous Checkout

    Udgivet: 4.8.2022
  4. Drago Anguelov — Robustness, Safety, and Scalability at Waymo

    Udgivet: 14.7.2022
  5. James Cham — Investing in the Intersection of Business and Technology

    Udgivet: 7.7.2022
  6. Boris Dayma — The Story Behind DALL·E mini, the Viral Phenomenon

    Udgivet: 17.6.2022
  7. Tristan Handy — The Work Behind the Data Work

    Udgivet: 9.6.2022
  8. Johannes Otterbach — Unlocking ML for Traditional Companies

    Udgivet: 12.5.2022
  9. Mircea Neagovici — Robotic Process Automation (RPA) and ML

    Udgivet: 21.4.2022
  10. Jensen Huang — NVIDIA’s CEO on the Next Generation of AI and MLOps

    Udgivet: 3.3.2022
  11. Peter & Boris — Fine-tuning OpenAI's GPT-3

    Udgivet: 10.2.2022
  12. Ion Stoica — Spark, Ray, and Enterprise Open Source

    Udgivet: 20.1.2022
  13. Stephan Fabel — Efficient Supercomputing with NVIDIA's Base Command Platform

    Udgivet: 6.1.2022
  14. Chris Padwick — Smart Machines for More Sustainable Farming

    Udgivet: 23.12.2021
  15. Kathryn Hume — Financial Models, ML, and 17th-Century Philosophy

    Udgivet: 16.12.2021
  16. Sean & Greg — Biology and ML for Drug Discovery

    Udgivet: 2.12.2021
  17. Chris, Shawn, and Lukas — The Weights & Biases Journey

    Udgivet: 5.11.2021
  18. Pete Warden — Practical Applications of TinyML

    Udgivet: 21.10.2021
  19. Pieter Abbeel — Robotics, Startups, and Robotics Startups

    Udgivet: 7.10.2021
  20. Chris Albon — ML Models and Infrastructure at Wikimedia

    Udgivet: 23.9.2021

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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.

Visit the podcast's native language site