Gradient Dissent: Conversations on AI

By Lukas Biewald

What's Gradient Dissent: Conversations on AI about?

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.

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Gradient Dissent: Conversations on AI episodes:

04.11.2024
Redefining AI Hardware for Enterprise with SambaNova’s Rodrigo Liang
03.28.2024
Navigating the Vector Database Landscape with Pinecone's Edo Liberty
03.14.2024
Transforming Data into Business Solutions with Salesforce AI CEO, Clara Shih
In this episode of Gradient Dissent, we explore the revolutionary impact of AI across industries with Clara Shih, CEO of Salesforce AI and Founder of Hearsay Systems. Dive into Salesforce AI's cutting-edge approach to customer service through AI, the...
02.29.2024
Upgrading Your Health: Navigating AI's Future In Healthcare with John Halamka of Mayo Clinic Platform
In the newest episode of Gradient Dissent, we explore the intersecting worlds of AI and Healthcare with John Halamka, President of the Mayo Clinic Platform. Journey with us down John Halamka's remarkable path from his early tech startup days to...
02.15.2024
Shaping the World of Robotics with Chelsea Finn
In the newest episode of Gradient Dissent, Chelsea Finn, Assistant Professor at Stanford's Computer Science Department, discusses the forefront of robotics and machine learning. Discover her groundbreaking work, where two-armed robots learn to cook shrimp (messes included!), and discuss how...
02.01.2024
The Power of AI in Search with You.com's Richard Socher
In the latest episode of Gradient Dissent, Richard Socher, CEO of You.com, shares his insights on the power of AI in search. The episode focuses on how advanced language models like GPT-4 are transforming search engines and changing the way...
01.18.2024
AI’s Future: Investment & Impact with Sarah Guo and Elad Gil
Explore the Future of Investment & Impact in AI with Host Lukas Biewald and Guests Elad Gill and Sarah Guo of the No Priors podcast. Sarah is the founder of Conviction VC, an AI-centric $100 million venture fund. Elad, a...
01.04.2024
Revolutionizing AI Data Management with Jerry Liu, CEO of LlamaIndex
In the latest episode of Gradient Dissent, we explore the innovative features and impact of LlamaIndex in AI data management with Jerry Liu, CEO of LlamaIndex. Jerry shares insights on how LlamaIndex integrates diverse data formats with advanced AI technologies,...
12.21.2023
AI's Future: Spatial Data with Paul Copplestone
Dive into the remarkable journey of Paul Copplestone, CEO of Supabase in this episode of Gradient Dissent Business. Paul recounts his unique experiences, having started with a foundation in web development before venturing into innovative projects in agriculture, blending his...
12.07.2023
Bridging AI and Science: The Impact of Machine Learning on Material Innovation with Joe Spisak of Meta
In the latest episode of Gradient Dissent, we hear from Joseph Spisak, Product Director, Generative AI @Meta, to explore the boundless impacts of AI and its expansive role in reshaping various sectors. We delve into the intricacies of models like...
11.16.2023
Unlocking the Power of Language Models in Enterprise: A Deep Dive with Chris Van Pelt
In the premiere episode of Gradient Dissent Business, we're joined by Weights & Biases co-founder Chris Van Pelt for a deep dive into the world of large language models like GPT-3.5 and GPT-4. Chris bridges his expertise as both a...
07.27.2023
Providing Greater Access to LLMs with Brandon Duderstadt, Co-Founder and CEO of Nomic AI
On this episode, we’re joined by Brandon Duderstadt, Co-Founder and CEO of Nomic AI. Both of Nomic AI’s products, Atlas and GPT4All, aim to improve the explainability and accessibility of AI. We discuss: - (0:55) What GPT4All is and its...
07.13.2023
Exploring PyTorch and Open-Source Communities with Soumith Chintala, VP/Fellow of Meta, Co-Creator of PyTorch
On this episode, we’re joined by Soumith Chintala, VP/Fellow of Meta and Co-Creator of PyTorch. Soumith and his colleagues’ open-source framework impacted both the development process and the end-user experience of what would become PyTorch. We discuss: - The history...
06.22.2023
Advanced AI Accelerators and Processors with Andrew Feldman of Cerebras Systems
On this episode, we’re joined by Andrew Feldman, Founder and CEO of Cerebras Systems. Andrew and the Cerebras team are responsible for building the largest-ever computer chip and the fastest AI-specific processor in the industry. We discuss: - The advantages...
06.01.2023
Enabling LLM-Powered Applications with Harrison Chase of LangChain
On this episode, we’re joined by Harrison Chase, Co-Founder and CEO of LangChain. Harrison and his team at LangChain are on a mission to make the process of creating applications powered by LLMs as easy as possible. We discuss: -...
05.18.2023
Deploying Autonomous Mobile Robots with Jean Marc Alkazzi at idealworks
On this episode, we’re joined by Jean Marc Alkazzi, Applied AI at idealworks. Jean focuses his attention on applied AI, leveraging the use of autonomous mobile robots (AMRs) to improve efficiency within factories and more. We discuss: - Use cases...
05.04.2023
How EleutherAI Trains and Releases LLMs: Interview with Stella Biderman
On this episode, we’re joined by Stella Biderman, Executive Director at EleutherAI and Lead Scientist - Mathematician at Booz Allen Hamilton. EleutherAI is a grassroots collective that enables open-source AI research and focuses on the development and interpretability of large...
04.20.2023
Scaling LLMs and Accelerating Adoption with Aidan Gomez at Cohere
On this episode, we’re joined by Aidan Gomez, Co-Founder and CEO at Cohere. Cohere develops and releases a range of innovative AI-powered tools and solutions for a variety of NLP use cases. We discuss: - What “attention” means in the...
04.04.2023
Neural Network Pruning and Training with Jonathan Frankle at MosaicML
Jonathan Frankle, Chief Scientist at MosaicML and Assistant Professor of Computer Science at Harvard University, joins us on this episode. With comprehensive infrastructure and software tools, MosaicML aims to help businesses train complex machine-learning models using their own proprietary data....
03.03.2023
Shreya Shankar — Operationalizing Machine Learning
About This Episode Shreya Shankar is a computer scientist, PhD student in databases at UC Berkeley, and co-author of "Operationalizing Machine Learning: An Interview Study", an ethnographic interview study with 18 machine learning engineers across a variety of industries on...
02.17.2023
Jasper AI's Dave Rogenmoser & Saad Ansari on Growing & Maintaining an LLM-Based Company
About this episodeIn this episode of Gradient Dissent, Lukas interviews Dave Rogenmoser (CEO & Co-Founder) and Saad Ansari (Director of AI) of Jasper AI, a generative AI company with a focus on text generation for content like blog posts, articles,...
02.02.2023
Sarah Catanzaro — Remembering the Lessons of the Last AI Renaissance
Sarah Catanzaro is a General Partner at Amplify Partners, and one of the leading investors in AI and ML. Her investments include RunwayML, OctoML, and Gantry. Sarah and Lukas discuss lessons learned from the "AI renaissance" of the mid 2010s...
01.19.2023
Cristóbal Valenzuela — The Next Generation of Content Creation and AI
Cristóbal Valenzuela is co-founder and CEO of Runway ML, a startup that's building the future of AI-powered content creation tools. Runway's research areas include diffusion systems for image generation. Cris gives a demo of Runway's video editing platform. Then, he...
01.05.2023
Jeremy Howard — The Simple but Profound Insight Behind Diffusion
Jeremy Howard is a co-founder of fast.ai, the non-profit research group behind the popular massive open online course "Practical Deep Learning for Coders", and the open source deep learning library "fastai". Jeremy is also a co-founder of #Masks4All, a global...
12.22.2022
Jerome Pesenti — Large Language Models, PyTorch, and Meta
Jerome Pesenti is the former VP of AI at Meta, a tech conglomerate that includes Facebook, WhatsApp, and Instagram, and one of the most exciting places where AI research is happening today. Jerome shares his thoughts on Transformers-based large language...
12.01.2022
D. Sculley — Technical Debt, Trade-offs, and Kaggle
D. Sculley is CEO of Kaggle, the beloved and well-known data science and machine learning community. D. discusses his influential 2015 paper "Machine Learning: The High Interest Credit Card of Technical Debt" and what the current challenges of deploying models...
11.15.2022
Emad Mostaque — Stable Diffusion, Stability AI, and What’s Next
Emad Mostaque is CEO and co-founder of Stability AI, a startup and network of decentralized developer communities building open AI tools. Stability AI is the company behind Stable Diffusion, the well-known, open source, text-to-image generation model. Emad shares the story...
10.06.2022
Jehan Wickramasuriya — AI in High-Stress Scenarios
Jehan Wickramasuriya is the Vice President of AI, Platform & Data Services at Motorola Solutions, a global leader in public safety and enterprise security. In this episode, Jehan discusses how Motorola Solutions uses AI to simplify data streams to help...
09.15.2022
Will Falcon — Making Lightning the Apple of ML
Will Falcon is the CEO and co-founder of Lightning AI, a platform that enables users to quickly build and publish ML models. In this episode, Will explains how Lightning addresses the challenges of a fragmented AI ecosystem and reveals which...
08.26.2022
Aaron Colak — ML and NLP in Experience Management
Aaron Colak is the Leader of Core Machine Learning at Qualtrics, an experiment management company that takes large language models and applies them to real-world, B2B use cases. In this episode, Aaron describes mixing classical linguistic analysis with deep learning...
08.04.2022
Jordan Fisher — Skipping the Line with Autonomous Checkout
Jordan Fisher is the CEO and co-founder of Standard AI, an autonomous checkout company that’s pushing the boundaries of computer vision. In this episode, Jordan discusses “the Wild West” of the MLOps stack and tells Lukas why Rust beats Python....
07.14.2022
Drago Anguelov — Robustness, Safety, and Scalability at Waymo
Drago Anguelov is a Distinguished Scientist and Head of Research at Waymo, an autonomous driving technology company and subsidiary of Alphabet Inc. We begin by discussing Drago's work on the original Inception architecture, winner of the 2014 ImageNet challenge and...
07.07.2022
James Cham — Investing in the Intersection of Business and Technology
James Cham is a co-founder and partner at Bloomberg Beta, an early-stage venture firm that invests in machine learning and the future of work, the intersection between business and technology. James explains how his approach to investing in AI has...
06.17.2022
Boris Dayma — The Story Behind DALL·E mini, the Viral Phenomenon
Check out this report by Boris about DALL-E mini: https://wandb.ai/dalle-mini/dalle-mini/reports/DALL-E-mini-Generate-images-from-any-text-prompt--VmlldzoyMDE4NDAy https://wandb.ai/_scott/wandb_example/reports/Collaboration-in-ML-made-easy-with-W-B-Teams--VmlldzoxMjcwMDU5 https://twitter.com/weirddalle Connect with Boris:
06.09.2022
Tristan Handy — The Work Behind the Data Work
Tristan Handy is CEO and founder of dbt Labs. dbt (data build tool) simplifies the data transformation workflow and helps organizations make better decisions. Lukas and Tristan dive into the history of the modern data stack and the subsequent challenges...
05.12.2022
Johannes Otterbach — Unlocking ML for Traditional Companies
Johannes Otterbach is VP of Machine Learning Research at Merantix Momentum, an ML consulting studio that helps their clients build AI solutions. Johannes and Lukas talk about Johannes' background in physics and applications of ML to quantum computing, why Merantix...
04.21.2022
Mircea Neagovici — Robotic Process Automation (RPA) and ML
Mircea Neagovici is VP, AI and Research at UiPath, where his team works on task mining and other ways of combining robotic process automation (RPA) with machine learning for their B2B products. Mircea and Lukas talk about the challenges of...
03.03.2022
Jensen Huang — NVIDIA’s CEO on the Next Generation of AI and MLOps
Jensen Huang is founder and CEO of NVIDIA, whose GPUs sit at the heart of the majority of machine learning models today. Jensen shares the story behind NVIDIA's expansion from gaming to deep learning acceleration, leadership lessons that he's learned...
02.10.2022
Peter & Boris — Fine-tuning OpenAI's GPT-3
Peter Welinder is VP of Product & Partnerships at OpenAI, where he runs product and commercialization efforts of GPT-3, Codex, GitHub Copilot, and more. Boris Dayma is Machine Learning Engineer at Weights & Biases, and works on integrations and large...
01.20.2022
Ion Stoica — Spark, Ray, and Enterprise Open Source
Ion Stoica is co-creator of the distributed computing frameworks Spark and Ray, and co-founder and Executive Chairman of Databricks and Anyscale. He is also a Professor of computer science at UC Berkeley and Principal Investigator of RISELab, a five-year research...
01.06.2022
Stephan Fabel — Efficient Supercomputing with NVIDIA's Base Command Platform
Stephan Fabel is Senior Director of Infrastructure Systems & Software at NVIDIA, where he works on Base Command, a software platform to coordinate access to NVIDIA's DGX SuperPOD infrastructure. Lukas and Stephan talk about why having a supercomputer is one...
12.23.2021
Chris Padwick — Smart Machines for More Sustainable Farming
Chris Padwick is Director of Computer Vision Machine Learning at Blue River Technology, a subsidiary of John Deere. Their core product, See & Spray, is a weeding robot that identifies crops and weeds in order to spray only the weeds...
12.16.2021
Kathryn Hume — Financial Models, ML, and 17th-Century Philosophy
Kathryn Hume is Vice President Digital Investments Technology at the Royal Bank of Canada (RBC). At the time of recording, she was Interim Head of Borealis AI, RBC's research institute for machine learning. Kathryn and Lukas talk about ML applications...
12.02.2021
Sean & Greg — Biology and ML for Drug Discovery
Sean McClain is the founder and CEO, and Gregory Hannum is the VP of AI Research at Absci, a biotech company that's using deep learning to expedite drug discovery and development. Lukas, Sean, and Greg talk about why Absci started...
11.05.2021
Chris, Shawn, and Lukas — The Weights & Biases Journey
You might know him as the host of Gradient Dissent, but Lukas is also the CEO of Weights & Biases, a developer-first ML tools platform! In this special episode, the three W&B; co-founders — Chris (CVP), Shawn (CTO), and Lukas...
10.21.2021
Pete Warden — Practical Applications of TinyML
Pete is the Technical Lead of the TensorFlow Micro team, which works on deep learning for mobile and embedded devices. Lukas and Pete talk about hacking a Raspberry Pi to run AlexNet, the power and size constraints of embedded devices,...
10.07.2021
Pieter Abbeel — Robotics, Startups, and Robotics Startups
Pieter is the Chief Scientist and Co-founder at Covariant, where his team is building universal AI for robotic manipulation. Pieter also hosts The Robot Brains Podcast, in which he explores how far humanity has come in its mission to create...
09.23.2021
Chris Albon — ML Models and Infrastructure at Wikimedia
In this episode we're joined by Chris Albon, Director of Machine Learning at the Wikimedia Foundation. Lukas and Chris talk about Wikimedia's approach to content moderation, what it's like to work in a place so transparent that even internal chats...
09.09.2021
Emily M. Bender — Language Models and Linguistics
In this episode, Emily and Lukas dive into the problems with bigger and bigger language models, the difference between form and meaning, the limits of benchmarks, and why it's important to name the languages we study. Show notes (links to...
08.26.2021
Jeff Hammerbacher — From data science to biomedicine
Jeff talks about building Facebook's early data team, founding Cloudera, and transitioning into biomedicine with Hammer Lab and Related Sciences.

What's Gradient Dissent: Conversations on AI about?

Download our free app to listen on your phone

Gradient Dissent: Conversations on AI episodes:

Redefining AI Hardware for Enterprise with SambaNova’s Rodrigo Liang

Navigating the Vector Database Landscape with Pinecone's Edo Liberty

Transforming Data into Business Solutions with Salesforce AI CEO, Clara Shih

Upgrading Your Health: Navigating AI's Future In Healthcare with John Halamka of Mayo Clinic Platform

Shaping the World of Robotics with Chelsea Finn

The Power of AI in Search with You.com's Richard Socher

AI’s Future: Investment & Impact with Sarah Guo and Elad Gil

Revolutionizing AI Data Management with Jerry Liu, CEO of LlamaIndex

AI's Future: Spatial Data with Paul Copplestone

Bridging AI and 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

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

Exploring PyTorch and Open-Source Communities with Soumith Chintala, VP/Fellow of Meta, Co-Creator of PyTorch

Advanced AI Accelerators and Processors with Andrew Feldman of Cerebras Systems

Enabling LLM-Powered Applications with Harrison Chase of LangChain

Deploying Autonomous Mobile Robots with Jean Marc Alkazzi at idealworks

How EleutherAI Trains and Releases LLMs: Interview with Stella Biderman

Scaling LLMs and Accelerating Adoption with Aidan Gomez at Cohere

Neural Network Pruning and Training with Jonathan Frankle at MosaicML

Shreya Shankar — Operationalizing Machine Learning

Jasper AI's Dave Rogenmoser & Saad Ansari on Growing & Maintaining an LLM-Based Company

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

James Cham — Investing in the Intersection of Business and Technology

Boris Dayma — The Story Behind DALL·E mini, the Viral Phenomenon

Tristan Handy — The Work Behind the Data Work

Johannes Otterbach — Unlocking ML for Traditional Companies

Mircea Neagovici — Robotic Process Automation (RPA) and ML

Jensen Huang — NVIDIA’s CEO on the Next Generation of AI and MLOps

Peter & Boris — Fine-tuning OpenAI's GPT-3

Ion Stoica — Spark, Ray, and Enterprise Open Source

Stephan Fabel — Efficient Supercomputing with NVIDIA's Base Command Platform

Chris Padwick — Smart Machines for More Sustainable Farming

Kathryn Hume — Financial Models, ML, and 17th-Century Philosophy

Sean & Greg — Biology and ML for Drug Discovery

Chris, Shawn, and Lukas — The Weights & Biases Journey

Pete Warden — Practical Applications of TinyML

Pieter Abbeel — Robotics, Startups, and Robotics Startups

Chris Albon — ML Models and Infrastructure at Wikimedia

Emily M. Bender — Language Models and Linguistics

Jeff Hammerbacher — From data science to biomedicine