Gradient Dissent: Conversations on AI
En podcast av Lukas Biewald
120 Avsnitt
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Cristóbal Valenzuela — The Next Generation of Content Creation and AI
Publicerades: 2023-01-19 -
Jeremy Howard — The Simple but Profound Insight Behind Diffusion
Publicerades: 2023-01-05 -
Jerome Pesenti — Large Language Models, PyTorch, and Meta
Publicerades: 2022-12-22 -
D. Sculley — Technical Debt, Trade-offs, and Kaggle
Publicerades: 2022-12-01 -
Emad Mostaque — Stable Diffusion, Stability AI, and What’s Next
Publicerades: 2022-11-15 -
Jehan Wickramasuriya — AI in High-Stress Scenarios
Publicerades: 2022-10-06 -
Will Falcon — Making Lightning the Apple of ML
Publicerades: 2022-09-15 -
Aaron Colak — ML and NLP in Experience Management
Publicerades: 2022-08-26 -
Jordan Fisher — Skipping the Line with Autonomous Checkout
Publicerades: 2022-08-04 -
Drago Anguelov — Robustness, Safety, and Scalability at Waymo
Publicerades: 2022-07-14 -
James Cham — Investing in the Intersection of Business and Technology
Publicerades: 2022-07-07 -
Boris Dayma — The Story Behind DALL·E mini, the Viral Phenomenon
Publicerades: 2022-06-17 -
Tristan Handy — The Work Behind the Data Work
Publicerades: 2022-06-09 -
Johannes Otterbach — Unlocking ML for Traditional Companies
Publicerades: 2022-05-12 -
Mircea Neagovici — Robotic Process Automation (RPA) and ML
Publicerades: 2022-04-21 -
Jensen Huang — NVIDIA’s CEO on the Next Generation of AI and MLOps
Publicerades: 2022-03-03 -
Peter & Boris — Fine-tuning OpenAI's GPT-3
Publicerades: 2022-02-10 -
Ion Stoica — Spark, Ray, and Enterprise Open Source
Publicerades: 2022-01-20 -
Stephan Fabel — Efficient Supercomputing with NVIDIA's Base Command Platform
Publicerades: 2022-01-06 -
Chris Padwick — Smart Machines for More Sustainable Farming
Publicerades: 2021-12-23
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.