Gradient Dissent: Conversations on AI
By Lukas Biewald
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Episodes: 100
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 |
|---|---|
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Redefining AI Hardware for Enterprise with SambaNova’s Rodrigo Liang
|
Apr 11, 2024 |
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Navigating the Vector Database Landscape with Pinecone's Edo Liberty
|
Mar 28, 2024 |
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Transforming Data into Business Solutions with Salesforce AI CEO, Clara Shih
|
Mar 14, 2024 |
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Upgrading Your Health: Navigating AI's Future In Healthcare with John Halamka of Mayo Clinic Platform
|
Feb 29, 2024 |
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Shaping the World of Robotics with Chelsea Finn
|
Feb 15, 2024 |
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The Power of AI in Search with You.com's Richard Socher
|
Feb 01, 2024 |
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AI’s Future: Investment & Impact with Sarah Guo and Elad Gil
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Jan 18, 2024 |
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Revolutionizing AI Data Management with Jerry Liu, CEO of LlamaIndex
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Jan 04, 2024 |
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Bridging AI and Science: The Impact of Machine Learning on Material Innovation with Joe Spisak of Meta
|
Dec 07, 2023 |
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Unlocking the Power of Language Models in Enterprise: A Deep Dive with Chris Van Pelt
|
Nov 16, 2023 |
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Providing Greater Access to LLMs with Brandon Duderstadt, Co-Founder and CEO of Nomic AI
|
Jul 27, 2023 |
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Exploring PyTorch and Open-Source Communities with Soumith Chintala, VP/Fellow of Meta, Co-Creator of PyTorch
|
Jul 13, 2023 |
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Advanced AI Accelerators and Processors with Andrew Feldman of Cerebras Systems
|
Jun 22, 2023 |
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Enabling LLM-Powered Applications with Harrison Chase of LangChain
|
Jun 01, 2023 |
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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 |
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Scaling LLMs and Accelerating Adoption with Aidan Gomez at Cohere
|
Apr 20, 2023 |
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Neural Network Pruning and Training with Jonathan Frankle at MosaicML
|
Apr 04, 2023 |
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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 |
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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 |
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Drago Anguelov — Robustness, Safety, and Scalability at Waymo
|
Jul 14, 2022 |
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James Cham — Investing in the Intersection of Business and Technology
|
Jul 07, 2022 |
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Boris Dayma — The Story Behind DALL·E mini, the Viral Phenomenon
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Jun 17, 2022 |
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Tristan Handy — The Work Behind the Data Work
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Jun 09, 2022 |
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Johannes Otterbach — Unlocking ML for Traditional Companies
|
May 12, 2022 |
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Mircea Neagovici — Robotic Process Automation (RPA) and ML
|
Apr 21, 2022 |
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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 |
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Ion Stoica — Spark, Ray, and Enterprise Open Source
|
Jan 20, 2022 |
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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
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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 |
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Chris Albon — ML Models and Infrastructure at Wikimedia
|
Sep 23, 2021 |
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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 |
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Alyssa Simpson Rochwerger — Responsible ML in the Real World
|
May 20, 2021 |
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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 |
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Dave Selinger — AI and the Next Generation of Security Systems
|
Mar 11, 2021 |
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Tim & Heinrich — Democraticizing Reinforcement Learning Research
|
Mar 04, 2021 |
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Daphne Koller — Digital Biology and the Next Epoch of Science
|
Feb 18, 2021 |
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Piero Molino — The Secret Behind Building Successful Open Source Projects
|
Feb 11, 2021 |
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Rosanne Liu — Conducting Fundamental ML Research as a Nonprofit
|
Feb 05, 2021 |
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Sean Gourley — NLP, National Defense, and Establishing Ground Truth
|
Jan 28, 2021 |
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Peter Wang — Anaconda, Python, and Scientific Computing
|
Jan 21, 2021 |
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Chris Anderson — Robocars, Drones, and WIRED Magazine
|
Jan 14, 2021 |
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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 |
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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 |
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Joaquin Candela — Definitions of Fairness
|
Oct 01, 2020 |
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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 |
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Suzana Ilić — Cultivating Machine Learning Communities
|
Sep 02, 2020 |
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Jeremy Howard — The Story of fast.ai and Why Python Is Not the Future of ML
|
Aug 25, 2020 |
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Anantha Kancherla — Building Level 5 Autonomous Vehicles
|
Aug 12, 2020 |
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Bharath Ramsundar — Deep Learning for Molecules and Medicine Discovery
|
Aug 05, 2020 |
|
Chip Huyen — ML Research and Production Pipelines
|
Jul 29, 2020 |
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Peter Skomoroch — Product Management for AI
|
Jul 21, 2020 |
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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 |
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Peter Welinder — Deep Reinforcement Learning and Robotics
|
Jun 17, 2020 |
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Vicki Boykis — Machine Learning Across Industries
|
Jun 04, 2020 |
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Angela & Danielle — Designing ML Models for Millions of Consumer Robots
|
May 06, 2020 |
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Jack Clark — Building Trustworthy AI Systems
|
Apr 22, 2020 |
|
Rachael Tatman — Conversational AI and Linguistics
|
Apr 07, 2020 |
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Nicolas Koumchatzky — Machine Learning in Production for Self-Driving Cars
|
Mar 21, 2020 |
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Brandon Rohrer — Machine Learning in Production for Robots
|
Mar 11, 2020 |