Gradient Dissent: Conversations on AI
Ein Podcast von Lukas Biewald
120 Folgen
-
Cristóbal Valenzuela — The Next Generation of Content Creation and AI
Vom: 19.1.2023 -
Jeremy Howard — The Simple but Profound Insight Behind Diffusion
Vom: 5.1.2023 -
Jerome Pesenti — Large Language Models, PyTorch, and Meta
Vom: 22.12.2022 -
D. Sculley — Technical Debt, Trade-offs, and Kaggle
Vom: 1.12.2022 -
Emad Mostaque — Stable Diffusion, Stability AI, and What’s Next
Vom: 15.11.2022 -
Jehan Wickramasuriya — AI in High-Stress Scenarios
Vom: 6.10.2022 -
Will Falcon — Making Lightning the Apple of ML
Vom: 15.9.2022 -
Aaron Colak — ML and NLP in Experience Management
Vom: 26.8.2022 -
Jordan Fisher — Skipping the Line with Autonomous Checkout
Vom: 4.8.2022 -
Drago Anguelov — Robustness, Safety, and Scalability at Waymo
Vom: 14.7.2022 -
James Cham — Investing in the Intersection of Business and Technology
Vom: 7.7.2022 -
Boris Dayma — The Story Behind DALL·E mini, the Viral Phenomenon
Vom: 17.6.2022 -
Tristan Handy — The Work Behind the Data Work
Vom: 9.6.2022 -
Johannes Otterbach — Unlocking ML for Traditional Companies
Vom: 12.5.2022 -
Mircea Neagovici — Robotic Process Automation (RPA) and ML
Vom: 21.4.2022 -
Jensen Huang — NVIDIA’s CEO on the Next Generation of AI and MLOps
Vom: 3.3.2022 -
Peter & Boris — Fine-tuning OpenAI's GPT-3
Vom: 10.2.2022 -
Ion Stoica — Spark, Ray, and Enterprise Open Source
Vom: 20.1.2022 -
Stephan Fabel — Efficient Supercomputing with NVIDIA's Base Command Platform
Vom: 6.1.2022 -
Chris Padwick — Smart Machines for More Sustainable Farming
Vom: 23.12.2021
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.