Bridging AI & Science: The Impact of Machine Learning on Material Innovation with Joe Spisak of Meta

Unlocking the Power of Language Models in Enterprise: A Deep Dive with Chris Van Pelt

AI's Future: Investment & Impact with Sarah Guo and Elad Gill

Providing Greater Access to LLMs with Brandon Duderstadt, Co-Founder and CEO of Nomic AI

Exploring PyTorch and Open-Source Communities: Interview with Soumith Chintala

Andrew Feldman: Advanced AI Accelerators and Processors

Stella Biderman: How EleutherAI Trains and Releases LLMs

Building a Q&A Bot for Weights & Biases' Gradient Dissent Podcast

Aidan Gomez - Scaling LLMs and Accelerating Adoption

Jonathan Frankle: Neural Network Pruning and Training

Shreya Shankar — Operationalizing Machine Learning

Sarah Catanzaro — Remembering the Lessons of the Last AI Renaissance

Cristóbal Valenzuela — The Next Generation of Content Creation and AI

Jeremy Howard — The Simple but Profound Insight Behind Diffusion

Jerome Pesenti — Large Language Models, PyTorch, and Meta

D. Sculley — Technical Debt, Trade-offs, and Kaggle

Emad Mostaque — Stable Diffusion, Stability AI, and What’s Next

Jehan Wickramasuriya — AI in High-Stress Scenarios

Will Falcon — Making Lightning the Apple of ML

Aaron Colak — ML and NLP in Experience Management

Jordan Fisher — Skipping the Line with Autonomous Checkout

Drago Anguelov — Robustness, Safety, and Scalability at Waymo