Gradient Dissent: Conversations on AI

By Lukas Biewald

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Episodes: 105

Description

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.

Episode Date
Transforming Search with Perplexity AI’s CTO Denis Yarats
Jun 20, 2024
AI in electronics: Quilter’s journey in PCB design
Jun 06, 2024
The Future of AI in Coding with Codeium CEO Varun Mohan
May 23, 2024
Shaping AI Benchmarks with Together AI Co-Founder Percy Liang
May 09, 2024
Accelerating drug discovery with AI: Insights from Isomorphic Labs
Apr 25, 2024
Redefining AI Hardware for Enterprise with SambaNova’s Rodrigo Liang
Apr 11, 2024
Navigating the Vector Database Landscape with Pinecone's Edo Liberty
Mar 28, 2024
Transforming Data into Business Solutions with Salesforce AI CEO, Clara Shih
Mar 14, 2024
Upgrading Your Health: Navigating AI's Future In Healthcare with John Halamka of Mayo Clinic Platform
Feb 29, 2024
Shaping the World of Robotics with Chelsea Finn
Feb 15, 2024
The Power of AI in Search with You.com's Richard Socher
Feb 01, 2024
AI’s Future: Investment & Impact with Sarah Guo and Elad Gil
Jan 18, 2024
Revolutionizing AI Data Management with Jerry Liu, CEO of LlamaIndex
Jan 04, 2024
Bridging AI and Science: The Impact of Machine Learning on Material Innovation with Joe Spisak of Meta
Dec 07, 2023
Unlocking the Power of Language Models in Enterprise: A Deep Dive with Chris Van Pelt
Nov 16, 2023
Providing Greater Access to LLMs with Brandon Duderstadt, Co-Founder and CEO of Nomic AI
Jul 27, 2023
Exploring PyTorch and Open-Source Communities with Soumith Chintala, VP/Fellow of Meta, Co-Creator of PyTorch
Jul 13, 2023
Advanced AI Accelerators and Processors with Andrew Feldman of Cerebras Systems
Jun 22, 2023
Enabling LLM-Powered Applications with Harrison Chase of LangChain
Jun 01, 2023
Deploying Autonomous Mobile Robots with Jean Marc Alkazzi at idealworks
May 18, 2023
How EleutherAI Trains and Releases LLMs: Interview with Stella Biderman
May 04, 2023
Scaling LLMs and Accelerating Adoption with Aidan Gomez at Cohere
Apr 20, 2023
Neural Network Pruning and Training with Jonathan Frankle at MosaicML
Apr 04, 2023
Shreya Shankar — Operationalizing Machine Learning
Mar 03, 2023
Sarah Catanzaro — Remembering the Lessons of the Last AI Renaissance
Feb 02, 2023
Cristóbal Valenzuela — The Next Generation of Content Creation and AI
Jan 19, 2023
Jeremy Howard — The Simple but Profound Insight Behind Diffusion
Jan 05, 2023
Jerome Pesenti — Large Language Models, PyTorch, and Meta
Dec 22, 2022
D. Sculley — Technical Debt, Trade-offs, and Kaggle
Dec 01, 2022
Emad Mostaque — Stable Diffusion, Stability AI, and What’s Next
Nov 15, 2022
Jehan Wickramasuriya — AI in High-Stress Scenarios
Oct 06, 2022
Will Falcon — Making Lightning the Apple of ML
Sep 15, 2022
Aaron Colak — ML and NLP in Experience Management
Aug 26, 2022
Jordan Fisher — Skipping the Line with Autonomous Checkout
Aug 04, 2022
Drago Anguelov — Robustness, Safety, and Scalability at Waymo
Jul 14, 2022
James Cham — Investing in the Intersection of Business and Technology
Jul 07, 2022
Boris Dayma — The Story Behind DALL·E mini, the Viral Phenomenon
Jun 17, 2022
Tristan Handy — The Work Behind the Data Work
Jun 09, 2022
Johannes Otterbach — Unlocking ML for Traditional Companies
May 12, 2022
Mircea Neagovici — Robotic Process Automation (RPA) and ML
Apr 21, 2022
Jensen Huang — NVIDIA’s CEO on the Next Generation of AI and MLOps
Mar 03, 2022
Peter & Boris — Fine-tuning OpenAI's GPT-3
Feb 10, 2022
Ion Stoica — Spark, Ray, and Enterprise Open Source
Jan 20, 2022
Stephan Fabel — Efficient Supercomputing with NVIDIA's Base Command Platform
Jan 06, 2022
Chris Padwick — Smart Machines for More Sustainable Farming
Dec 23, 2021
Kathryn Hume — Financial Models, ML, and 17th-Century Philosophy
Dec 16, 2021
Sean & Greg — Biology and ML for Drug Discovery
Dec 02, 2021
Chris, Shawn, and Lukas — The Weights & Biases Journey
Nov 05, 2021
Pete Warden — Practical Applications of TinyML
Oct 21, 2021
Pieter Abbeel — Robotics, Startups, and Robotics Startups
Oct 07, 2021
Chris Albon — ML Models and Infrastructure at Wikimedia
Sep 23, 2021
Emily M. Bender — Language Models and Linguistics
Sep 09, 2021
Jeff Hammerbacher — From data science to biomedicine
Aug 26, 2021
Josh Bloom — The Link Between Astronomy and ML
Aug 20, 2021
Xavier Amatriain — Building AI-powered Primary Care
Jul 30, 2021
Spence Green — Enterprise-scale Machine Translation
Jul 16, 2021
Roger & DJ — The Rise of Big Data and CA's COVID-19 Response
Jul 08, 2021
Amelia & Filip — How Pandora Deploys ML Models into Production
Jul 01, 2021
Luis Ceze — Accelerating Machine Learning Systems
Jun 24, 2021
Matthew Davis — Bringing Genetic Insights to Everyone
Jun 17, 2021
Clément Delangue — The Power of the Open Source Community
Jun 10, 2021
Wojciech Zaremba — What Could Make AI Conscious?
Jun 03, 2021
Phil Brown — How IPUs are Advancing Machine Intelligence
May 27, 2021
Alyssa Simpson Rochwerger — Responsible ML in the Real World
May 20, 2021
Sean Taylor — Business Decision Problems
May 13, 2021
Polly Fordyce — Microfluidic Platforms and Machine Learning
Apr 29, 2021
Adrien Gaidon — Advancing ML Research in Autonomous Vehicles
Apr 22, 2021
Nimrod Shabtay — Deployment and Monitoring at Nanit
Apr 15, 2021
Chris Mattmann — ML Applications on Earth, Mars, and Beyond
Apr 08, 2021
Vladlen Koltun — The Power of Simulation and Abstraction
Apr 01, 2021
Dominik Moritz — Building Intuitive Data Visualization Tools
Mar 25, 2021
Cade Metz — The Stories Behind the Rise of AI
Mar 18, 2021
Dave Selinger — AI and the Next Generation of Security Systems
Mar 11, 2021
Tim & Heinrich — Democraticizing Reinforcement Learning Research
Mar 04, 2021
Daphne Koller — Digital Biology and the Next Epoch of Science
Feb 18, 2021
Piero Molino — The Secret Behind Building Successful Open Source Projects
Feb 11, 2021
Rosanne Liu — Conducting Fundamental ML Research as a Nonprofit
Feb 05, 2021
Sean Gourley — NLP, National Defense, and Establishing Ground Truth
Jan 28, 2021
Peter Wang — Anaconda, Python, and Scientific Computing
Jan 21, 2021
Chris Anderson — Robocars, Drones, and WIRED Magazine
Jan 14, 2021
Adrien Treuille — Building Blazingly Fast Tools That People Love
Dec 04, 2020
Peter Norvig – Singularity Is in the Eye of the Beholder
Nov 20, 2020
Robert Nishihara — The State of Distributed Computing in ML
Nov 13, 2020
Ines & Sofie — Building Industrial-Strength NLP Pipelines
Oct 29, 2020
Daeil Kim — The Unreasonable Effectiveness of Synthetic Data
Oct 15, 2020
Joaquin Candela — Definitions of Fairness
Oct 01, 2020
Richard Socher — The Challenges of Making ML Work in the Real World
Sep 29, 2020
Zack Chase Lipton — The Medical Machine Learning Landscape
Sep 17, 2020
Anthony Goldbloom — How to Win Kaggle Competitions
Sep 09, 2020
Suzana Ilić — Cultivating Machine Learning Communities
Sep 02, 2020
Jeremy Howard — The Story of fast.ai and Why Python Is Not the Future of ML
Aug 25, 2020
Anantha Kancherla — Building Level 5 Autonomous Vehicles
Aug 12, 2020
Bharath Ramsundar — Deep Learning for Molecules and Medicine Discovery
Aug 05, 2020
Chip Huyen — ML Research and Production Pipelines
Jul 29, 2020
Peter Skomoroch — Product Management for AI
Jul 21, 2020
Josh Tobin — Productionizing ML Models
Jul 08, 2020
Miles Brundage — Societal Impacts of Artificial Intelligence
Jul 01, 2020
Hamel Husain — Building Machine Learning Tools
Jun 24, 2020
Peter Welinder — Deep Reinforcement Learning and Robotics
Jun 17, 2020
Vicki Boykis — Machine Learning Across Industries
Jun 04, 2020
Angela & Danielle — Designing ML Models for Millions of Consumer Robots
May 06, 2020
Jack Clark — Building Trustworthy AI Systems
Apr 22, 2020
Rachael Tatman — Conversational AI and Linguistics
Apr 07, 2020
Nicolas Koumchatzky — Machine Learning in Production for Self-Driving Cars
Mar 21, 2020
Brandon Rohrer — Machine Learning in Production for Robots
Mar 11, 2020