Gradient Dissent: Conversations on AI
A podcast by Lukas Biewald
120 Episoade
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Cristóbal Valenzuela — The Next Generation of Content Creation and AI
Publicat: 19.01.2023 -
Jeremy Howard — The Simple but Profound Insight Behind Diffusion
Publicat: 05.01.2023 -
Jerome Pesenti — Large Language Models, PyTorch, and Meta
Publicat: 22.12.2022 -
D. Sculley — Technical Debt, Trade-offs, and Kaggle
Publicat: 01.12.2022 -
Emad Mostaque — Stable Diffusion, Stability AI, and What’s Next
Publicat: 15.11.2022 -
Jehan Wickramasuriya — AI in High-Stress Scenarios
Publicat: 06.10.2022 -
Will Falcon — Making Lightning the Apple of ML
Publicat: 15.09.2022 -
Aaron Colak — ML and NLP in Experience Management
Publicat: 26.08.2022 -
Jordan Fisher — Skipping the Line with Autonomous Checkout
Publicat: 04.08.2022 -
Drago Anguelov — Robustness, Safety, and Scalability at Waymo
Publicat: 14.07.2022 -
James Cham — Investing in the Intersection of Business and Technology
Publicat: 07.07.2022 -
Boris Dayma — The Story Behind DALL·E mini, the Viral Phenomenon
Publicat: 17.06.2022 -
Tristan Handy — The Work Behind the Data Work
Publicat: 09.06.2022 -
Johannes Otterbach — Unlocking ML for Traditional Companies
Publicat: 12.05.2022 -
Mircea Neagovici — Robotic Process Automation (RPA) and ML
Publicat: 21.04.2022 -
Jensen Huang — NVIDIA’s CEO on the Next Generation of AI and MLOps
Publicat: 03.03.2022 -
Peter & Boris — Fine-tuning OpenAI's GPT-3
Publicat: 10.02.2022 -
Ion Stoica — Spark, Ray, and Enterprise Open Source
Publicat: 20.01.2022 -
Stephan Fabel — Efficient Supercomputing with NVIDIA's Base Command Platform
Publicat: 06.01.2022 -
Chris Padwick — Smart Machines for More Sustainable Farming
Publicat: 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.
