Shows
Gradient Dissent: Conversations on AIInside Cursor: The future of AI coding with Co-founder Sualeh AsifIn this episode of Gradient Dissent, host Lukas Biewald talks with Sualeh Asif, the CPO and co-founder of Cursor, one of the fastest-growing and most loved AI-powered coding platforms. Sualeh shares the story behind Cursor’s creation, the technical and design decisions that set it apart, and how AI models are changing the way we build software. They dive deep into infrastructure challenges, the importance of speed and user experience, and how emerging trends in agents and reasoning models are reshaping the developer workflow.Sualeh also discusses scaling AI inference to support hundreds of millions of requests pe...2025-04-2949 min
Gradient Dissent: Conversations on AIInside the Dark Web, AI and Cybersecurity with Christopher Ahlberg CEO of Recorded FutureIn this episode of Gradient Dissent, host Lukas Biewald talks with Christopher Ahlberg, CEO of Recorded Future, a pioneering cybersecurity company leveraging AI to provide intelligence insights. Christopher shares his fascinating journey from founding data visualization startup Spotfire to building Recorded Future into an industry leader, eventually leading to its acquisition by Mastercard.They dive into gripping stories of cyber espionage, including how Recorded Future intercepted a hacker selling access to the U.S. Electoral Assistance Commission. Christopher also explains why the criminal underworld has shifted to platforms like Telegram, how AI is transforming both cyber threats...2025-04-0850 min
Gradient Dissent: Conversations on AIAI, autonomy, and the future of naval warfare with Captain Jon Haase, United States NavyIn this episode of Gradient Dissent, host Lukas Biewald speaks with Captain Jon Haase, United States Navy about real-world applications of AI and autonomy in defense. From underwater mine detection with autonomous vehicles to the ethics of lethal AI systems, this conversation dives into how the U.S. military is integrating AI into mission-critical operations — and why humans will always be at the center of warfighting.They explore the challenges of underwater autonomy, multi-agent collaboration, cybersecurity, and the growing role of large language models like Gemini and Claude in the defense space. Essential listening for an...2025-03-251h 01
Gradient Dissent: Conversations on AIThe rise of AI agentsIn this episode of Gradient Dissent, host Lukas Biewald sits down with João Moura, CEO & Founder of CrewAI, one of the leading platforms enabling AI agents for enterprise applications. Joe shares insights into how AI agents are being successfully deployed in over 40% of Fortune 500 companies, what tools these agents rely on, and how software companies are adapting to an agentic world.They also discuss:What defines a true AI agent versus simple automationHow AI agents are transforming business processes in industries like finance, insurance, and softwareThe evolving business models for APIs as AI agents become t...2025-02-2549 min
Gradient Dissent: Conversations on AIR1, OpenAI’s o3, and the ARC-AGI Benchmark: Insights from Mike KnoopIn this episode of Gradient Dissent, host Lukas Biewald sits down with Mike Knoop, Co-founder and CEO of Ndea, a cutting-edge AI research lab. Mike shares his journey from building Zapier into a major automation platform to diving into the frontiers of AI research. They discuss DeepSeek’s R1, OpenAI’s O-series models, and the ARC Prize, a competition aimed at advancing AI’s reasoning capabilities. Mike explains how program synthesis and deep learning must merge to create true AGI, and why he believes AI reliability is the biggest hurdle for automation adoption.This conversation covers AGI timeli...2025-02-041h 12
Gradient Dissent: Conversations on AIDeepSeek, Stargate and AI's $600 Billion Question with Sequoia's David CahnIn this episode of Gradient Dissent, host Lukas Biewald sits down with David Cahn, partner at Sequoia Capital, for a compelling discussion on the dynamic world of AI investments. They dive into recent developments, including DeepSeek and Stargate, exploring their implications for the AI industry. Drawing from his articles, "AI's $200 Billion Question" and "AI's $600 Billion Question," David unpacks the financial challenges and opportunities surrounding AI infrastructure spending and the staggering revenue required to sustain these investments. Together, they examine the competitive strategies of cloud providers, the transformative impact of AI on business models, and predictions for the next wave...2025-01-2858 min
Gradient Dissent: Conversations on AIBuilding the future of collaborative AI development with Akshay AgrawalIn this episode of Gradient Dissent, Akshay Agrawal, Co-Founder of Marimo, joins host Lukas Biewald to discuss the future of collaborative AI development. They dive into how Marimo is enabling developers and researchers to collaborate seamlessly on AI projects, the challenges of scaling AI tools, and the importance of fostering open ecosystems for innovation. Akshay shares insights into building a platform that empowers teams to iterate faster and solve complex AI challenges together.Follow Weights & Biases:https://twitter.com/weights_biases https://www.linkedin.com/company/wandb Jo...2025-01-0741 min
Gradient Dissent: Conversations on AIEvaluating LLMs with Chatbot Arena and Joseph E. GonzalezIn this episode of Gradient Dissent, Joseph E. Gonzalez, EECS Professor at UC Berkeley and Co-Founder at RunLLM, joins host Lukas Biewald to explore innovative approaches to evaluating LLMs.They discuss the concept of vibes-based evaluation, which examines not just accuracy but also the style and tone of model responses, and how Chatbot Arena has become a community-driven benchmark for open-source and commercial LLMs. Joseph shares insights on democratizing model evaluation, refining AI-human interactions, and leveraging human preferences to improve model performance. This episode provides a deep dive into the evolving landscape of LLM evaluation and its...2024-12-1755 min
Gradient Dissent: Conversations on AIAI’s breakthrough in weather forecasting with Brightband’s Julian GreenIn this episode of Gradient Dissent, Julian Green, Co-founder & CEO of Brightband, joins host Lukas Biewald to discuss how AI is transforming weather forecasting and climate solutions.They explore Brightband's innovative approach to using AI for extreme weather prediction, the shift from physics-based models to AI-driven forecasting, and the potential for democratizing weather data. Julian shares insights into building trust in AI for critical decisions, navigating the challenges of deep tech entrepreneurship, and the broader implications of AI in mitigating climate risks. This episode delves into the intersection of AI and Earth systems, highlighting its transformative impact...2024-11-2649 min
Gradient Dissent: Conversations on AIWhat’s the path to AGI? A conversation with Turing Co-founder and CEO Jonathan SiddharthIn this episode of Gradient Dissent, Jonathan Siddharth, CEO & Co-Founder of Turing, joins host Lukas Biewald to discuss the path to AGI.They explore how Turing built a "developer cloud" of 3.7 million engineers to power AGI training, providing high-quality code and reasoning data to leading AI labs. Jonathan shares insights on Turing’s journey, from building coding datasets to solving enterprise AI challenges and enabling human-in-the-loop solutions. This episode offers a unique perspective on the intersection of human intelligence and AGI, with an eye on the expansion of new domains beyond coding.✅ *Subscribe to Weights & Bias...2024-11-0754 min
Gradient Dissent: Conversations on AIVercel's CEO & Founder Guillermo Rauch on the impact of AI on Web Development and Front End EngineeringIn this episode of Gradient Dissent, Guillermo Rauch, CEO & Founder of Vercel, joins host Lukas Biewald for a wide ranging discussion on how AI is changing web development and front end engineering. They discuss how Vercel’s v0 expert AI agent is generating code and UI based on simple ChatGPT-like prompts, the importance of releasing daily for AI applications, and the changing landscape of frontier model performance between open and closed models.Listen on Apple Podcasts: http://wandb.me/apple-podcastsListen on Spotify: http://wandb.me/spotify Subscribe to Weights & Biases: https://bit.ly/4...2024-10-2456 min
Gradient Dissent: Conversations on AISnowflake’s CEO Sridhar Ramaswamy on 700+ LLM enterprise use casesIn this episode of Gradient Dissent, Snowflake CEO Sridhar Ramaswamy joins host Lukas Biewald to explore how AI is transforming enterprise data strategies.They discuss Sridhar's journey from Google to Snowflake, diving into the evolving role of foundation models, Snowflake’s AI strategy, and the challenges of scaling AI in business. Sridhar also shares his thoughts on leadership, rapid iteration, and creating meaningful AI solutions for enterprise clients. Tune in to discover how Snowflake is driving innovation in the AI and data space.Connect with Sridhar Ramaswamy:https://www.linkedin.com/in/sridhar-ramaswamy/ 2024-10-1055 min
Gradient Dissent: Conversations on AIElevating ML Infrastructure with Modal Labs CEO Erik BernhardssonIn this episode of Gradient Dissent, Erik Bernhardsson, CEO & Founder of Modal Labs, joins host Lukas Biewald to discuss the future of machine learning infrastructure. They explore how Modal is enhancing the developer experience, handling large-scale GPU workloads, and simplifying cloud execution for data teams. If you’re into AI, data pipelines, or building robust ML systems, this episode is packed with valuable insights!🎙 *Listen on Apple Podcasts*: http://wandb.me/apple-podcasts🎙 *Listen on Spotify*: http://wandb.me/spotify ✅ *Subscribe to Weights & Biases* → https://bit.ly/45BCkYz🎙 Get our...2024-09-2649 min
Gradient Dissent: Conversations on AIFrom No-Code to AI-Powered Apps with Airtable’s Howie LiuIn this episode of Gradient Dissent, Howie Lou, CEO of Airtable, joins host Lukas Biewald to dive into Airtable's transformation from a no-code app builder to a platform capable of supporting complex AI-driven workflows. They discuss the strategic decisions that propelled Airtable's growth, the challenges of scaling AI in enterprise settings, and the future of AI in business operations. Discover how Airtable is reshaping digital transformation and why flexibility and innovation are key in today's tech landscape. Tune in now to learn about the evolving role of AI in business and product development.🎙 *Listen on Apple Podcasts*: htt...2024-09-121h 12
Gradient Dissent: Conversations on AILaunching the Fastest AI Inference Solution with Cerebras Systems CEO Andrew FeldmanIn this episode of Gradient Dissent, Andrew Feldman, CEO of Cerebras Systems, joins host Lukas Biewald to discuss the latest advancements in AI inference technology. They explore Cerebras Systems' groundbreaking new AI inference product, examining how their wafer-scale chips are setting new benchmarks in speed, accuracy, and cost efficiency. Andrew shares insights on the architectural innovations that make this possible and discusses the broader implications for AI workloads in production. This episode provides a comprehensive look at the cutting-edge of AI hardware and its impact on the future of machine learning.✅ *Subscribe to Weights & Biases* → https://bit.ly/45...2024-08-2753 min
Gradient Dissent: Conversations on AIReinventing AI Agents with Imbue CEO Kanjun QiuIn this episode of Gradient Dissent, Kanjun Qiu, CEO and Co-founder of Imbue, joins host Lukas Biewald to discuss how AI agents are transforming code generation and software development. Discover the potential impact and challenges of creating autonomous AI systems that can write and verify code and and learn about the practical research involved.✅ *Subscribe to Weights & Biases* → https://bit.ly/45BCkYzConnect with Kanjun Qiu: https://www.linkedin.com/in/kanjun/ https://x.com/kanjunGeneral Intelligent Podcast: https://imbue.com/podc...2024-08-0848 min
Gradient Dissent: Conversations on AIFrom startup to $1.2B with Lambda's Stephen BalabanIn this episode of Gradient Dissent, Stephen Balaban, CEO of Lambda Labs, joins host Lukas Biewald to discuss the journey of scaling Lambda Labs to an impressive $400M in revenue. They explore the pivotal moments that shaped the company, the future of GPU technology, and the impact of AI data centers on the energy grid. Discover the challenges and triumphs of running a successful hardware and cloud business in the AI industry.Tune in now to explore the evolving landscape of AI hardware and cloud services.✅ *Subscribe to Weights & Biases* → https://bit.ly/45BCkYzCon...2024-07-2549 min
Gradient Dissent: Conversations on AIHarnessing AI for legal practice with CoCounsel’s Jake HellerIn this episode of Gradient Dissent, Jake Heller, Head of Product, CoCounsel, joins host Lukas Biewald to discuss how AI is innovating legal practices and reshaping educational approaches for aspiring lawyers. From automating document review to enhancing legal research capabilities, explore the potential impact and challenges AI presents in the legal field. Whether you're a legal professional, a student, or simply curious about the future of law and technology, this conversation provides valuable insights and perspectives. Tune in now to explore the evolving landscape of AI in legal education.
✅ *Subscribe to Weights & Biases* → https://bit.ly/45BCkYz
🎙 Get our podcasts on these...2024-07-111h 04
Gradient Dissent: Conversations on AITransforming Search with Perplexity AI’s CTO Denis YaratsIn this episode of Gradient Dissent, Denis Yarats, CTO of Perplexity, joins host Lukas Biewald to discuss the innovative use of AI in creating high-quality, fast search engine answers.Discover how Perplexity combines advancements in search engines and LLMs to deliver precise answers. Yarats shares insights on the technical challenges, the importance of speed, and the future of AI in search.✅ *Subscribe to Weights & Biases* → https://bit.ly/45BCkYz🎙 Get our podcasts on these platforms:Apple Podcasts: http://wandb.me/apple-podcastsSpotify: http://wandb.me/spotifyGoogle: http://w...2024-06-2043 min
Eye On A.I.#192 Lukas Biewald: How Weights and Biases Supercharges Machine LearningThis episode is sponsored by Oracle. AI is revolutionizing industries, but needs power without breaking the bank. Enter Oracle Cloud Infrastructure (OCI): the one-stop platform for all your AI needs, with 4-8x the bandwidth of other clouds. Train AI models faster and at half the cost. Be ahead like Uber and Cohere. If you want to do more and spend less like Uber, 8x8, and Databricks Mosaic - take a free test drive of OCI at https://oracle.com/eyeonai In this episode of the Eye on AI podcast, join...2024-06-0942 min
Gradient Dissent: Conversations on AIAI in electronics: Quilter’s journey in PCB designIn this episode of Gradient Dissent, Sergiy Nesterenko, CEO of Quilter, joins host Lukas Biewald to discuss the groundbreaking use of reinforcement learning in PCB design. Learn how Quilter automates the complex, manual process of creating PCBs, making it faster and more efficient. Nesterenko shares insights on the challenges and successes of integrating AI with real-world applications and discusses the future of electronic design.✅ *Subscribe to Weights & Biases* → https://bit.ly/45BCkYzConnect with Sergiy Nesterenko:https://www.linkedin.com/in/sergiynesterenko/ Fo...2024-06-0643 min
Gradient Dissent: Conversations on AIThe Future of AI in Coding with Codeium CEO Varun MohanIn this episode of Gradient Dissent, Varun Mohan, Co-Founder & CEO of Codeium, joins host Lukas Biewald to discuss the transformative power of AI in coding. They explore how Codeium evolved from GPU virtualization to a widely used AI coding tool and tackled the technical challenges and future prospects of AI-assisted software development. Varun shares insights on overcoming performance and latency issues and how AI can significantly enhance engineering velocity. This episode offers an in-depth look at the intersection of AI and coding, highlighting both technological advancements and the potential for more efficient development processes.2024-05-2354 min
Gradient Dissent: Conversations on AIShaping AI Benchmarks with Together AI Co-Founder Percy LiangIn this episode of Gradient Dissent, Together AI co-founder and Stanford Associate Professor Percy Liang joins host, Lukas Biewald, to discuss advancements in AI benchmarking and the pivotal role that open-source plays in AI development.He shares his development of HELM—a robust framework for evaluating language models. The discussion highlights how this framework improves transparency and effectiveness in AI benchmarks. Additionally, Percy shares insights on the pivotal role of open-source models in democratizing AI development and addresses the challenges of English language bias in global AI applications. This episode offers in-depth insights into how benchmarks are sh...2024-05-0953 min
Gradient Dissent: Conversations on AIAccelerating drug discovery with AI: Insights from Isomorphic LabsIn this episode of Gradient Dissent, Isomorphic Labs Chief AI Officer Max Jaderberg, and Chief Technology Officer Sergei Yakneen join our host Lukas Biewald to discuss the advancements in biotech and drug discovery being unlocked with machine learning.With backgrounds in advanced AI research at DeepMind, Max and Sergei offer their unique insights into the challenges and successes of applying AI in a complex field like biotechnology. They share their journey at Isomorphic Labs, a company dedicated to revolutionizing drug discovery with AI. In this episode, they discuss the transformative impact of deep learning on the drug...2024-04-251h 10
Gradient Dissent: Conversations on AIAI's Future: Investment & Impact with Sarah Guo and Elad GilExplore 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 seasoned entrepreneur and startup investor, boasts an impressive portfolio in over 40 companies, each valued at $1 billion or more, and wrote the influential "High Growth Handbook."Join us for a deep dive into the nuanced world of AI, where we'll explore its broader industry impact, focusing on how startups can seamlessly blend product-centric approaches with a balance of...2024-01-181h 04
The MAD Podcast with Matt TurckWeights & Biases: The Developer-First MLOps Platform with CEO Lukas BiewaldToday we have the pleasure of talking to Lukas Biewald, CEO of Weights and Biases for a conversation about Lukas' entrepreneurial journey building two companies in the MLOps space, the current capabilities of the Weights & Biases platform, lessons learned on the Go to Market front, and more!2023-08-0951 min
No Priors: Artificial Intelligence | Technology | StartupsEradicating Machine Learning Pain Points with Weights & Biases CEO Lukas BiewaldHow are ML developer tools helping to advance our capabilities? Lukas Biewald, CEO of Weights & Biases, joins Sarah Guo and Elad Gil this week on No Priors. Lukas explores the impact of ML in various industries like gaming, AgTech, and fintech through his insightful perspective. He discusses the impact of LLMs, puts them in context of the evolution of ML engineering over the past decade and a half, and tells the backstory of Weights & Biases' success. He gives advice for aspiring AI company founders, placing emphasis on customer feedback and using insecurity as a vehicle for better customer discovery.2023-08-0343 min
Startup Field Guide by Unusual Ventures: The Product Market Fit PodcastHow Weights & Biases found product-market fit: Lukas Biewald on dev-focused ML opsWeights & Biases is a developer-focused MLOps platform last valued at over $1 billion. Their platform helps developers streamline their ML workflow from end to end. Weights & Biases currently has over 700 customers using their product to manage their ML models.
In this episode, Sandhya Hegde chats with Lukas Biewald, the CEO and co-founder of Weights & Biases about the company’s path to product-market fit.
Join us as we discuss:
(2:09) Lukas’s inspiration for starting the company
(8:02) Early design partners for Weights & Biases
(13...2023-06-0548 min
Gradient Dissent: Conversations on AIShreya Shankar — Operationalizing Machine LearningAbout This EpisodeShreya 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 their experience deploying and maintaining ML pipelines in production.Shreya explains the high-level findings of "Operationalizing Machine Learning"; variables that indicate a successful deployment (velocity, validation, and versioning), common pain points, and a grouping of the MLOps tool stack into four layers. Shreya and Lukas also discuss examples of data challenges in production, Jupyter Notebooks, and...2023-03-0354 min
Gradient Dissent: Conversations on AIJasper AI's Dave Rogenmoser & Saad Ansari on Growing & Maintaining an LLM-Based CompanyAbout 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, and more. The company has seen impressive growth since it's launch at the start of 2021.Lukas talks with Dave and Saad about how Jasper AI was able to sell the capabilities of large language models as a product so successfully, and how they are able to continually improve their product and take advantage of steps...2023-02-171h 09
Gradient Dissent: Conversations on AISarah Catanzaro — Remembering the Lessons of the Last AI RenaissanceSarah 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 and compare the general perception of ML back then to now. Sarah also provides insights from her perspective as an investor, from selling into tech-forward companies vs. traditional enterprises, to the current state of MLOps/developer tools, to large language models and hype bubbles.Show notes (transcript and links): http://wandb.me/gd-sarah-catanzaro...2023-02-021h 16
Gradient Dissent: Conversations on AICristóbal Valenzuela — The Next Generation of Content Creation and AICristóbal 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 shares how his interest in combining technology with creativity led to Runway, and where he thinks the world of computation and content might be headed to next. Cris and Lukas also discuss Runway's tech stack and research.Show notes (transcript and links): http://wandb.me/gd-cristobal-valenzuela---⏳ Timestamps: 0:00 Int...2023-01-1940 min
Gradient Dissent: Conversations on AIJeremy Howard — The Simple but Profound Insight Behind DiffusionJeremy 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 volunteer organization founded in March 2020 that advocated for the public adoption of homemade face masks in order to help slow the spread of COVID-19. His Washington Post article "Simple DIY masks could help flatten the curve." went viral in late March/early April 2020, and is associated with the U.S CDC's change in guidance a...2023-01-051h 12
Gradient Dissent: Conversations on AIJerome Pesenti — Large Language Models, PyTorch, and MetaJerome 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 models, and why he's excited by the progress but skeptical of the term "AGI". Then, he discusses some of the practical applications of ML at Meta (recommender systems and moderation!) and dives into the story behind Meta's development of PyTorch. Jerome and Lukas also chat about Jerome's time at IBM Watson and in drug discovery....2022-12-2252 min
Gradient Dissent: Conversations on AID. Sculley — Technical Debt, Trade-offs, and KaggleD. 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 in the real world are now, in 2022. Then, D. and Lukas chat about why Kaggle is like a rain forest, and about Kaggle's historic, current, and potential future roles in the broader machine learning community.Show notes (transcript and links): http://wandb.me/gd-d-sculley---⏳ Timestamps: 0:00 Intro1:02 Machine le...2022-12-011h 00
Gradient Dissent: Conversations on AIEmad Mostaque — Stable Diffusion, Stability AI, and What’s NextEmad 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 and mission behind Stability AI (unlocking humanity's potential with open AI technology), and explains how Stability's role as a community catalyst and compute provider might evolve as the company grows. Then, Emad and Lukas discuss what the future might hold in store: big models vs "optimal" models, better datasets, and more decentralization.-🎶 Spe...2022-11-151h 10
Gradient Dissent: Conversations on AIJehan Wickramasuriya — AI in High-Stress ScenariosJehan 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 maximize human potential in high-stress situations. He also shares his thoughts on augmenting synthetic data with real data and the challenges posed in partnering with startups.Show notes (transcript and links): http://wandb.me/gd-jehan-wickramasuriya-⏳ Timestamps: 00:00 Intro00:42 How AI fits into the safety/security industry 09:33 Ev...2022-10-061h 00
Gradient Dissent: Conversations on AIWill Falcon — Making Lightning the Apple of MLWill 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 framework PyTorch Lightning was originally built upon (hint: not PyTorch!) He also shares lessons he took from his experience serving in the military and offers a recommendation to veterans who want to work in tech.Show notes (transcript and links): http://wandb.me/gd-will-falcon---⏳ Ti...2022-09-1545 min
Gradient Dissent: Conversations on AIAaron Colak — ML and NLP in Experience ManagementAaron 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 models and how Qualtrics organized their machine learning organizations and model to leverage the best of these techniques. He also explains how advances in NLP have invited new opportunities in low-resource languages.Show notes (transcript and links): http://wandb.me/gd-aaron-colak---⏳ Timestamps: 00:00 Intro00:57 Evolving from su...2022-08-2650 min
Gradient Dissent: Conversations on AIJordan Fisher — Skipping the Line with Autonomous CheckoutJordan 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. He also explains why AutoML shouldn't be overlooked and uses a bag of chips to help explain the Manifold Hypothesis.Show notes (transcript and links): http://wandb.me/gd-jordan-fisher---⏳ Timestamps: 00:00 Intro00:40 The origins of Standard AI08:30 Getting Standard into stores18:00 Supervised learning...2022-08-0457 min
Gradient Dissent: Conversations on AIDrago Anguelov — Robustness, Safety, and Scalability at WaymoDrago 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 introduction of the inception module. Then, we explore milestones and current trends in autonomous driving, from Waymo's release of the Open Dataset to the trade-offs between modular and end-to-end systems.Drago also shares his thoughts on finding rare examples, and the challenges of creating scalable and robust systems.Show notes (transcript and links): http...2022-07-141h 09
The Gradient: Perspectives on AILukas Biewald: Crowdsourcing at CrowdFlower and ML Tooling at Weights & BiasesIn episode 33 of The Gradient Podcast, Andrey Kurenkov speaks to Lukas Biewald.Lukas Biewald is a co-founder of Weights and Biases, a company that creates developer tools for machine learning. Prior to that he was a co-founder and CEO of Figure Eight Inc. (formerly CrowdFlower) — an Internet company that collects training data for machine learning, which was sold for 300 million dollars.Subscribe to The Gradient Podcast: Apple Podcasts | Spotify | Pocket Casts | RSSFollow The Gradient on TwitterOutline:* (00:00) Intro* (01:18) Start in AI* (06:17) CrowdFlower / Crowdsourcing* (21:06) Discovering Deep Lear...2022-07-0746 min
Gradient Dissent: Conversations on AIJames Cham — Investing in the Intersection of Business and TechnologyJames 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 developed over the last decade, which signals of success he looks for in the ever-adapting world of venture startups (tip: look for the "gradient of admiration"), and why it's so important to demystify ML for executives and decision-makers.Lukas and James also discuss how new technologies create new business models, and what the ethical considerations...2022-07-071h 06
Gradient Dissent: Conversations on AIBoris Dayma — The Story Behind DALL·E mini, the Viral PhenomenonCheck 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--VmlldzoyMDE4NDAyhttps://wandb.ai/_scott/wandb_example/reports/Collaboration-in-ML-made-easy-with-W-B-Teams--VmlldzoxMjcwMDU5https://twitter.com/weirddalleConnect with Boris:📍 Twitter: https://twitter.com/borisdayma---💬 Host: Lukas Biewald📹 Producers: Cayla Sharp, Angelica Pan, Sanyam Bhutani, Lavanya Shukla---Subscribe and listen to our podcast today!👉 Apple Podcasts: http://wandb.me/apple-podcasts👉 Google Podcasts: http://wandb.me/google-podcasts👉 Spotify: http://wandb.me2022-06-1735 min
Gradient Dissent: Conversations on AITristan Handy — The Work Behind the Data WorkTristan 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 that dbt was created to address; communities of identity and product-led growth; and thoughts on why SQL has survived and thrived for so long. Tristan also shares his hopes for the future of BI tools and the data stack.Show notes (transcript and links): http://wandb.me/gd-tristan-handy---⏳ Timestamps: ...2022-06-091h 00
Machine Learning Street Talk (MLST)#76 - LUKAS BIEWALD (Weights and Biases CEO)Check out Weights and Biases here!
https://wandb.me/MLST
Lukas Biewald is an entrepreneur living in San Francisco. He was the founder and CEO of Figure Eight an Internet company that collects training data for machine learning. In 2018, he founded Weights and Biases, a company that creates developer tools for machine learning. Recently WandB got a cash injection of 15 million dollars in its second funding round.
Lukas has a bachelors and masters in mathematics and computer science respectively from Stanford university. He was a research student under the tutelage of the legendary Daph...2022-06-0957 min
Gradient Dissent: Conversations on AIJohannes Otterbach — Unlocking ML for Traditional CompaniesJohannes 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 is investing in creating a cloud-agnostic tech stack, and the unique challenges of developing and deploying models for different customers. They also discuss some of Johannes' articles on the impact of NLP models and the future of AI regulations.Show notes (transcript and links): http://wandb.me/gd-johannes-otterbach---⏳ Timestamps: ...2022-05-1244 min
Gradient Dissent: Conversations on AIMircea Neagovici — Robotic Process Automation (RPA) and MLMircea 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 allowing customers to fine-tune their models, the trade-offs between traditional ML and more complex deep learning models, and how Mircea transitioned from a more traditional software engineering role to running a machine learning organization.Show notes (transcript and links): http://wandb.me/gd-mircea-neagovici---⏳ Timestamps: 0:00 Intro1:05 Robo...2022-04-2146 min
Gradient Dissent: Conversations on AIJensen Huang — NVIDIA's CEO on the Next Generation of AI and MLOpsJensen 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 over the last few decades, and why we need a virtual world that obeys the laws of physics (aka the Omniverse) in order to take AI to the next era. Jensen and Lukas also talk about the singularity, the slow-but-steady approach to building a new market, and the importance of MLOps.The complete show notes...2022-03-0348 min
Gradient Dissent: Conversations on AIPeter & Boris — Fine-tuning OpenAI's GPT-3Peter 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 model training.Peter, Boris, and Lukas dive into the world of GPT-3:- How people are applying GPT-3 to translation, copywriting, and other commercial tasks- The performance benefits of fine-tuning GPT-3- - Developing an API on top of GPT-3 that works out of the box, but is also flexible and customizable2022-02-1043 min
For Starters with Alexa von TobelHow to Build Good Tools with Lukas Biewald of Weights & BiasesWhat will the future of machine learning look like? According to Lukas Biewald, machine learning has the power to solve many of humanity's biggest problems. That's why he founded Weights & Biases, to build tools that help machine learning practitioners thrive. Weights & Biases is used and loved by over 100,000 practitioners to track their models, datasets and experiments. Lukas shares how the company works with partners like Toyota and Samsung, how he instilled a culture of product-led growth, and how the acquisition of his previous startup kicked off his daily yoga practice.2022-01-2631 min
Gradient Dissent: Conversations on AIIon Stoica — Spark, Ray, and Enterprise Open SourceIon 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 lab that develops technology for low-latency, intelligent decisions.Ion and Lukas chat about the challenges of making a simple (but good!) distributed framework, the similarities and differences between developing Spark and Ray, and how Spark and Ray led to the formation of Databricks and Anyscale. Ion also reflects on the early startup days, from deciding to commercialize...2022-01-2053 min
Gradient Dissent: Conversations on AIStephan Fabel — Efficient Supercomputing with NVIDIA's Base Command PlatformStephan 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 thing but using it effectively is another, why a deeper understanding of hardware on the practitioner level is becoming more advantageous, and which areas of the ML tech stack NVIDIA is looking to expand into.The complete show notes (transcript and links) can be found here: http://wandb.me/gd-stephan-fabel---Timestamps: 2022-01-0652 min
Gradient Dissent: Conversations on AIChris Padwick — Smart Machines for More Sustainable FarmingChris 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 with herbicide.Chris and Lukas dive into the challenges of bringing See & Spray to life, from the hard computer vision problem of classifying weeds from crops, to the engineering feat of building and updating embedded systems that can survive on a farming machine in the field. Chris also explains why user feedback is crucial, and shares some of...2021-12-231h 00
Gradient Dissent: Conversations on AIKathryn Hume — Financial Models, ML, and 17th-Century PhilosophyKathryn 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 in finance, from building a personal finance forecasting model to applying reinforcement learning to trade execution, and take a philosophical detour into the 17th century as they speculate on what Newton and Descartes would have thought about machine learning.The complete show notes (transcript and links) can be found here: http://wandb.me/gd-kathryn-hume2021-12-1652 min
Gradient Dissent: Conversations on AISean & Greg — Biology and ML for Drug DiscoverySean 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 investing so heavily in ML research (it all comes back to the data), what it'll take to build the GPT-3 of DNA, and where the future of pharma is headed. Sean and Greg also share some of the challenges of building cross-functional teams and combining two highly specialized fields like biology and ML.The complete...2021-12-0255 min
Gradient Dissent: Conversations on AIChris, Shawn, and Lukas — The Weights & Biases JourneyYou 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 (CEO) — sit down to tell the company's origin stories, reflect on the highs and lows, and give advice to engineers looking to start their own business.Chris reveals the W&B server architecture (tl;dr - React + GraphQL), Shawn shares his favorite product feature (it's a hidden frontend layer), and Lukas explains why it's so important to w...2021-11-0549 min
Gradient Dissent: Conversations on AIPete Warden — Practical Applications of TinyMLPete 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, and techniques to reduce model size. Pete also explains real world applications of TensorFlow Lite Micro and shares what it's been like to work on TensorFlow from the beginning.The complete show notes (transcript and links) can be found here: http://wandb.me/gd-pete-warden---Connect with Pete:📍 Twitter: htt...2021-10-2153 min
Gradient Dissent: Conversations on AIPieter Abbeel — Robotics, Startups, and Robotics StartupsPieter 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 conscious computers, mindful machines, and rational robots.Lukas and Pieter explore the state of affairs of robotics in 2021, the challenges of achieving consistency and reliability, and what it'll take to make robotics more ubiquitous. Pieter also shares some perspective on entrepreneurship, from how he knew it was time to commercialize Gradescope to what he looks for in...2021-10-0757 min
Gradient Dissent: Conversations on AIChris Albon — ML Models and Infrastructure at WikimediaIn 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 are public, how Wikimedia uses machine learning (spoiler: they do a lot of models to help editors), and why they're switching to Kubeflow and Docker. Chris also shares how his focus on outcomes has shaped his career and his approach to technical interviews.Show notes: http://wandb.me/gd-chris-albon---Connect...2021-09-2356 min
Gradient Dissent: Conversations on AIEmily M. Bender — Language Models and LinguisticsIn 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 papers and transcript): http://wandb.me/gd-emily-m-bender---Emily M. Bender is a Professor of Linguistics at and Faculty Director of the Master's Program in Computational Linguistics at University of Washington. Her research areas include multilingual grammar engineering, variation (within and across languages), the relationship between linguistics and computational linguistics, and societal issues...2021-09-091h 12
Gradient Dissent: Conversations on AIDave Selinger — AI and the Next Generation of Security SystemsLearn why traditional home security systems tend to fail and how Dave’s love of tinkering and deep learning are helping him and the team at Deep Sentinel avoid those same pitfalls. He also discusses the importance of combatting racial bias by designing race-agnostic systems and what their approach is to solving that problem.
Dave Selinger is the co-founder and CEO of Deep Sentinel, an intelligent crime prediction and prevention system that stops crime before it happens using deep learning vision techniques. Prior to founding Deep Sentinel, Dave co-founded RichRelevance, an AI recommendation company.
https://www.deepsentinel.com/
https://www.me...2021-03-1156 min
Gradient Dissent: Conversations on AITim & Heinrich — Democraticizing Reinforcement Learning ResearchSince reinforcement learning requires hefty compute resources, it can be tough to keep up without a serious budget of your own. Find out how the team at Facebook AI Research (FAIR) is looking to increase access and level the playing field with the help of NetHack, an archaic rogue-like video game from the late 80s.
Links discussed:
The NetHack Learning Environment:
https://ai.facebook.com/blog/nethack-learning-environment-to-advance-deep-reinforcement-learning/
Reinforcement learning, intrinsic motivation:
https://arxiv.org/abs/2002.12292
Knowledge transfer:
https://arxiv.org/abs/1910.08210
Tim Rocktäschel is a Research Scientist at Facebook AI Research (FAIR) London and a Lecturer in the Department o...2021-03-0454 min
Gradient Dissent: Conversations on AIDaphne Koller — Digital Biology and the Next Epoch of ScienceFrom teaching at Stanford to co-founding Coursera, insitro, and Engageli, Daphne Koller reflects on the importance of education, giving back, and cross-functional research.
Daphne Koller is the founder and CEO of insitro, a company using machine learning to rethink drug discovery and development. She is a MacArthur Fellowship recipient, member of the National Academy of Engineering, member of the American Academy of Arts and Science, and has been a Professor in the Department of Computer Science at Stanford University. In 2012, Daphne co-founded Coursera, one of the world's largest online education platforms. She is also a co-founder of Engageli, a digital...2021-02-1846 min
Gradient Dissent: Conversations on AIPiero Molino — The Secret Behind Building Successful Open Source ProjectsPiero shares the story of how Ludwig was created, as well as the ins and outs of how Ludwig works and the future of machine learning with no code.
Piero is a Staff Research Scientist in the Hazy Research group at Stanford University. He is a former founding member of Uber AI, where he created Ludwig, worked on applied projects (COTA, Graph Learning for Uber Eats, Uber’s Dialogue System), and published research on NLP, Dialogue, Visualization, Graph Learning, Reinforcement Learning, and Computer Vision.
Topics covered:
0:00 Sneak peek and intro
1:24 What is Ludwig, at a high level?
4:42 What is Ludwig do...2021-02-1136 min
Gradient Dissent: Conversations on AIRosanne Liu — Conducting Fundamental ML Research as a NonprofitHow Rosanne is working to democratize AI research and improve diversity and fairness in the field through starting a non-profit after being a founding member of Uber AI Labs, doing lots of amazing research, and publishing papers at top conferences.
Rosanne is a machine learning researcher, and co-founder of ML Collective, a nonprofit organization for open collaboration and mentorship. Before that, she was a founding member of Uber AI. She has published research at NeurIPS, ICLR, ICML, Science, and other top venues. While at school she used neural networks to help discover novel materials and to optimize fuel efficiency in...2021-02-0549 min
Gradient Dissent: Conversations on AISean Gourley — NLP, National Defense, and Establishing Ground TruthIn this episode of Gradient Dissent, Primer CEO Sean Gourley and Lukas Biewald sit down to talk about NLP, working with vast amounts of information, and how crucially it relates to national defense. They also chat about their experience of being second-time founders coming from a data science background and how it affects the way they run their companies. We hope you enjoy this episode!
Sean Gourley is the founder and CEO Primer, a natural language processing startup in San Francisco. Previously, he was CTO of Quid an augmented intelligence company that he cofounded back in 2009. And prior to that...2021-01-2847 min
Gradient Dissent: Conversations on AIPeter Wang — Anaconda, Python, and Scientific ComputingPeter Wang talks about his journey of being the CEO of and co-founding Anaconda, his perspective on the Python programming language, and its use for scientific computing.
Peter Wang has been developing commercial scientific computing and visualization software for over 15 years. He has extensive experience in software design and development across a broad range of areas, including 3D graphics, geophysics, large data simulation and visualization, financial risk modeling, and medical imaging.
Peter’s interests in the fundamentals of vector computing and interactive visualization led him to co-found Anaconda (formerly Continuum Analytics). Peter leads the open source and community innovation group.
As...2021-01-2250 min
Gradient Dissent: Conversations on AIChris Anderson — Robocars, Drones, and WIRED MagazineChris shares his journey starting from playing in R.E.M, becoming interested in physics to leading WIRED Magazine for 11 years. His robot fascination lead to starting a company that manufactures drones, and creating a community democratizing self-driving cars.
Chris Anderson is the CEO of 3D Robotics, founder of the Linux Foundation Dronecode Project and founder of the DIY Drones and DIY Robocars communities. From 2001 through 2012 he was the Editor in Chief of Wired Magazine. He's also the author of the New York Times bestsellers `The Long Tail` and `Free` and `Makers: The New Industrial Revolution`. In 2007 he was named...2021-01-141h 03
Gradient Dissent: Conversations on AIAdrien Treuille — Building Blazingly Fast Tools That People LoveAdrien shares his journey from making games that advance science (Eterna, Foldit) to creating a Streamlit, an open-source app framework enabling ML/Data practitioners to easily build powerful and interactive apps in a few hours.
Adrien is co-founder and CEO of Streamlit, an open-source app framework that helps create beautiful data apps in hours in pure Python. Dr. Treuille has been a Zoox VP, Google X project lead, and Computer Science faculty at Carnegie Mellon. He has won numerous scientific awards, including the MIT TR35. Adrien has been featured in the documentaries What Will the Future Be Like by PBS...2020-12-0445 min
Gradient Dissent: Conversations on AIPeter Norvig – Singularity Is in the Eye of the BeholderWe're thrilled to have Peter Norvig join us to talk about the evolution of deep learning, his industry-defining book, his work at Google, and what he thinks the future holds for machine learning research.
Peter Norvig is a Director of Research at Google Inc; previously he directed Google's core search algorithms group. He is co-author of Artificial Intelligence: A Modern Approach, the leading textbook in the field, and co-teacher of an Artificial Intelligence class that signed up 160,000. Prior to his work at Google, Norvig was NASA's chief computer scientist.
Peter's website:
https://norvig.com/
Topics covered:
0:00 singularity is in the...2020-11-2047 min
Gradient Dissent: Conversations on AIRobert Nishihara — The State of Distributed Computing in MLThe story of Ray and what lead Robert to go from reinforcement learning researcher to creating open-source tools for machine learning and beyond
Robert is currently working on Ray, a high-performance distributed execution framework for AI applications. He studied mathematics at Harvard. He’s broadly interested in applied math, machine learning, and optimization, and was a member of the Statistical AI Lab, the AMPLab/RISELab, and the Berkeley AI Research Lab at UC Berkeley.
robertnishihara.com
https://anyscale.com/
https://github.com/ray-project/ray
https://twitter.com/robertnishihara
https://www.linkedin.com/in/robert-nishihara-b6465444/
Topics covered:
0:00 sneak peak + intro
1:09 what is...2020-11-1335 min
Practical AIKiller developer tools for machine learningWeights & Biases is coming up with some awesome developer tools for AI practitioners! In this episode, Lukas Biewald describes how these tools were a direct result of pain points that he uncovered while working as an AI intern at OpenAI. He also shares his vision for the future of machine learning tooling and where he would like to see people level up tool-wise.Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Featuring:Lukas Biewald – Website, GitHub, XChris Benson – Website, GitHub, Link...2020-11-0950 min
Gradient Dissent: Conversations on AIInes & Sofie — Building Industrial-Strength NLP PipelinesSofie and Ines walk us through how the new spaCy library helps build end to end SOTA natural language processing workflows.
Ines Montani is the co-founder of Explosion AI, a digital studio specializing in tools for AI technology. She's a core developer of spaCy, one of the leading open-source libraries for Natural Language Processing in Python and Prodigy, a new data annotation tool powered by active learning. Before founding Explosion AI, she was a freelance front-end developer and strategist.
https://twitter.com/_inesmontani
Sofie Van Landeghem is a Natural Language Processing and Machine Learning engineer at Explosion.ai. She is...2020-10-2958 min
Gradient Dissent: Conversations on AIDaeil Kim — The Unreasonable Effectiveness of Synthetic DataSupercharging computer vision model performance by generating years of training data in minutes.
Daeil Kim is the co-founder and CEO of AI.Reverie(https://aireverie.com/), a startup that specializes in creating high quality synthetic training data for computer vision algorithms. Before that, he was a senior data scientist at the New York Times. And before that he got his PhD in computer science from Brown University, focusing on machine learning and Bayesian statistics. He's going to talk about tools that will advance machine learning progress, and he's going to talk about synthetic data.
https://twitter.com/daeil
Topics covered:
0:00...2020-10-1637 min
Gradient Dissent: Conversations on AIJoaquin Candela — Definitions of FairnessJoaquin chats about scaling and democratizing AI at Facebook, while understanding fairness and algorithmic bias.
---
Joaquin Quiñonero Candela is Distinguished Tech Lead for Responsible AI at Facebook, where he aims to understand and mitigate the risks and unintended consequences of the widespread use of AI across Facebook. He was previously Director of Society and AI Lab and Director of Engineering for Applied ML. Before joining Facebook, Joaquin taught at the University of Cambridge, and worked at Microsoft Research.
Connect with Joaquin:
Personal website: https://quinonero.net/
Twitter: https://twitter.com/jquinonero
LinkedIn: https://www.linkedin.com/in/joaquin-qui%C...2020-10-011h 19
Gradient Dissent: Conversations on AIRichard Socher — The Challenges of Making ML Work in the Real WorldRichard Socher, ex-Chief Scientist at Salesforce, joins us to talk about The AI Economist, NLP protein generation and biggest challenge in making ML work in the real world.
Richard Socher was the Chief scientist (EVP) at Salesforce where he lead teams working on fundamental research(einstein.ai/), applied research, product incubation, CRM search, customer service automation and a cross-product AI platform for unstructured and structured data. Previously, he was an adjunct professor at Stanford’s computer science department and the founder and CEO/CTO of MetaMind(www.metamind.io/) which was acquired by Salesforce in 2016. In 2014, he got my PhD in...2020-09-2950 min
Gradient Dissent: Conversations on AIZack Chase Lipton — The Medical Machine Learning LandscapeHow Zack went from being a musician to professor, how medical applications of Machine Learning are developing, and the challenges of counteracting bias in real world applications.
Zachary Chase Lipton is an assistant professor of Operations Research and Machine Learning at Carnegie Mellon University.
His research spans core machine learning methods and their social impact and addresses diverse application areas, including clinical medicine and natural language processing. Current research focuses include robustness under distribution shift, breast cancer screening, the effective and equitable allocation of organs, and the intersection of causal thinking with messy data.
He is the founder of the...2020-09-1759 min
Gradient Dissent: Conversations on AIAnthony Goldbloom — How to Win Kaggle CompetitionsAnthony Goldbloom is the founder and CEO of Kaggle. In 2011 & 2012, Forbes Magazine named Anthony as one of the 30 under 30 in technology. In 2011, Fast Company featured him as one of the innovative thinkers who are changing the future of business.
He and Lukas discuss the differences in strategies that do well in Kaggle competitions vs academia vs in production. They discuss his 2016 Ted talk through the lens of 2020, frameworks, and languages.
Topics Discussed:
0:00 Sneak Peek
0:20 Introduction
0:45 methods used in kaggle competitions vs mainstream academia
2:30 Feature engineering
3:55 Kaggle Competitions now vs 10 years ago
8:35 Data augmentation strategies
10:06 Overfitting in Kaggle Competitions
12:53 How to...2020-09-0944 min
Gradient Dissent: Conversations on AISuzana Ilić — Cultivating Machine Learning Communities👩💻Today our guest is Suzanah Ilić!
Suzanah is a founder of Machine Learning Tokyo which is a nonprofit organization dedicated to democratizing Machine Learning. They are a team of ML Engineers and Researchers and a community of more than 3000 people.
Machine Learning Tokyo: https://mltokyo.ai/
Follow Suzanah on twitter: https://twitter.com/suzatweet
Check out our podcasts homepage for transcripts and more episodes!
www.wandb.com/podcast
🔊 Get our podcast on Apple and Spotify!
Apple Podcasts: https://bit.ly/2WdrUvI
Spotify: https://bit.ly/2SqtadF
We started Weights and Biases to build tools for Machine Learning practitioners because we care a lot a...2020-09-0234 min
Machine Learning Archives - Software Engineering DailyMachine Learning Labeling and Tooling with Lukas Biewald
CrowdFlower was a company started in 2007 by Lukas Biewald, an entrepreneur and computer scientist. CrowdFlower solved some of the data labeling problems that were not being solved by Amazon Mechanical Turk. A decade after starting CrowdFlower, the company was sold for several hundred million dollars.
Today, data labeling has only grown in volume and scope. But Lukas has moved on to a different part of the machine learning stack: tooling for hyperparameter search and machine learning monitoring.
Lukas Biewald joins the show to talk about the problems he was solving with CrowdFlower, the...2020-08-2647 min
Software Engineering DailyMachine Learning Labeling and Tooling with Lukas BiewaldCrowdFlower was a company started in 2007 by Lukas Biewald, an entrepreneur and computer scientist. CrowdFlower solved some of the data labeling problems that were not being solved by Amazon Mechanical Turk. A decade after starting CrowdFlower, the company was sold for several hundred million dollars.Today, data labeling has only grown in volume and scope. But Lukas has moved on to a different part of the machine learning stack: tooling for hyperparameter search and machine learning monitoring.Lukas Biewald joins the show to talk about the problems he was solving with CrowdFlower, the solutions that...2020-08-2649 min
Gradient Dissent: Conversations on AIJeremy Howard — The Story of fast.ai and Why Python Is Not the Future of MLJeremy Howard is a founding researcher at fast.ai, a research institute dedicated to making Deep Learning more accessible. Previously, he was the CEO and Founder at Enlitic, an advanced machine learning company in San Francisco, California.
Howard is a faculty member at Singularity University, where he teaches data science. He is also a Young Global Leader with the World Economic Forum, and spoke at the World Economic Forum Annual Meeting 2014 on "Jobs For The Machines."
Howard advised Khosla Ventures as their Data Strategist, identifying the biggest opportunities for investing in data-driven startups and mentoring their portfolio companies to build...2020-08-2551 min
Gradient Dissent: Conversations on AIAnantha Kancherla — Building Level 5 Autonomous VehiclesAs Lyft’s VP of Engineering, Software at Level 5, Autonomous Vehicle Program, Anantha Kancherla has a birds-eye view on what it takes to make self-driving cars work in the real world. He previously worked on Windows at Microsoft focusing on DirectX, Graphics and UI; Facebook’s mobile Newsfeed and core mobile experiences; and led the Collaboration efforts at Dropbox involving launching Dropbox Paper as well as improving core collaboration functionality in Dropbox.
He and Lukas dive into the challenges of working on large projects and how to approach breaking down a major project into pieces, tracking progress and addressing bugs.
Chec...2020-08-1244 min
Gradient Dissent: Conversations on AIBharath Ramsundar — Deep Learning for Molecules and Medicine DiscoveryBharath created the deepchem.io open-source project to grow the deep drug discovery open source community, co-created the moleculenet.ai benchmark suite to facilitate development of molecular algorithms, and more. Bharath’s graduate education was supported by a Hertz Fellowship, the most selective graduate fellowship in the sciences. Bharath is the lead author of “TensorFlow for Deep Learning: From Linear Regression to Reinforcement Learning”, a developer’s introduction to modern machine learning, with O’Reilly Media.
Today, Bharath is focused on designing the decentralized protocols that will unlock data and AI to create the next stage of the internet. He received a...2020-08-0555 min
Gradient Dissent: Conversations on AIChip Huyen — ML Research and Production PipelinesChip Huyen is a writer and computer scientist currently working at a startup that focuses on machine learning production pipelines. Previously, she’s worked at NVIDIA, Netflix, and Primer. She helped launch Coc Coc - Vietnam’s second most popular web browser with 20+ million monthly active users. Before all of that, she was a best selling author and traveled the world.
Chip graduated from Stanford, where she created and taught the course on TensorFlow for Deep Learning Research.
Check out Chip's recent article on ML Tools: https://huyenchip.com/2020/06/22/mlops.html
Follow Chip on Twitter: https://twitter.com/chipro
And on h...2020-07-2943 min
Gradient Dissent: Conversations on AIPeter Skomoroch — Product Management for AI👨🏻💻Our guest on this episode of Gradient Dissent is Peter Skomoroch!
Peter is the former head of data products at Workday and LinkedIn. Previously, he was the cofounder and CEO of venture-backed deep learning startup SkipFlag, which was acquired by Workday, and a principal data scientist at LinkedIn.
Check out his recent publication: What you need to know about product management for AI
https://www.oreilly.com/radar/what-you-need-to-know-about-product-management-for-ai/
Follow Peter on Twitter:
https://twitter.com/peteskomoroch
And read some of his other work:
Pangloss: Fast Entity Linking in Noisy Text Environments
Large-Scale Hierarchical Topic Models
Visit our podcasts homepage for transcr...2020-07-221h 27
Gradient Dissent: Conversations on AIJosh Tobin — Productionizing ML ModelsJosh Tobin is a researcher working at the intersection of machine learning and robotics. His research focuses on applying deep reinforcement learning, generative models, and synthetic data to problems in robotic perception and control.
Additionally, he co-organizes a machine learning training program for engineers to learn about production-ready deep learning called Full Stack Deep Learning. https://fullstackdeeplearning.com/
Josh did his PhD in Computer Science at UC Berkeley advised by Pieter Abbeel and was a research scientist at OpenAI for 3 years during his PhD.
Finally, Josh created this amazing field guide on troubleshooting deep neural networks:
http://josh-tobin.com/assets...2020-07-0848 min
Gradient Dissent: Conversations on AIMiles Brundage — Societal Impacts of Artificial IntelligenceMiles Brundage researches the societal impacts of artificial intelligence and how to make sure they go well. In 2018, he joined OpenAI, as a Research Scientist on the Policy team. Previously, he was a Research Fellow at the University of Oxford's Future of Humanity Institute and served as a member of Axon's AI and Policing Technology Ethics Board.
Keep up with Miles on his website: https://www.milesbrundage.com/
and on Twitter: https://twitter.com/miles_brundage
Visit our podcasts homepage for transcripts and more episodes!
www.wandb.com/podcast
🔊 Get our podcast on Soundcloud, Apple, and Spotify!
Apple Podcasts: https://bit...2020-07-011h 02
Gradient Dissent: Conversations on AIHamel Husain — Building Machine Learning ToolsHamel Husain is a Staff Machine Learning Engineer at Github. He has extensive experience building data analytics and predictive modeling solutions for a wide range of industries, including: hospitality, telecom, retail, restaurant, entertainment and finance. He has built large data science teams (50+) from the ground up and have extensive experience building solutions as an individual contributor.
Follow Hamel on Twitter:
https://twitter.com/HamelHusain
And on his website: http://hamel.io/
Learn more about Github Actions:
https://github.com/features/actions
and the CodeSearchNet Challenge:
https://github.blog/2019-09-26-introducing-the-codesearchnet-challenge/
Visit our podcasts homepage for transcripts and more episodes!
...2020-06-2436 min
Gradient Dissent: Conversations on AIPeter Welinder — Deep Reinforcement Learning and RoboticsPeter Welinder is a research scientist and roboticist at OpenAI. Before that, he was an engineer at Dropbox and ran the machine learning team, and before that, he co-founded Anchovi Labs a startup using Computer Vision to organize photos that was acquired by Dropbox in 2012. In this episode of our podcast, Peter shares his experiences and the challenges associated with building a robotic hand that can solve a rubix cube.
Read some of Peter’s Articles:
https://openai.com/blog/authors/peter/
Follow Peter on Twitter:
https://twitter.com/npew
Check out our podcasts homepage for transcripts and more episodes!
ww...2020-06-1754 min
Gradient Dissent: Conversations on AIVicki Boykis — Machine Learning Across Industries👩💻Today our guest is Vicki Boykis!
Vicki is a senior consultant in machine learning and engineering and works with clients to build holistic data products used for decision-making. She's previously spoken at PyData, taught SQL for GirlDevelopIt, and blogs about data pipelines and open internet.
Follow her on her website: vickiboykis.com
On twitter: https://twitter.com/vboykis
and subscribe to her newsletter: vicki.substack.com
Check out our podcasts homepage for transcripts and more episodes!
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We started Weights and...2020-06-0434 min
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)The Whys and Hows of Managing Machine Learning Artifacts with Lukas BiewaldToday we’re joined by Lukas Biewald, founder and CEO of Weights & Biases, to discuss their new tool Artifacts, an end to end pipeline tracker. In our conversation, we explore Artifacts’ place in the broader machine learning tooling ecosystem through the lens of our eBook “The definitive guide to ML Platforms” and how it fits with the W&B model management platform. We discuss also discuss what exactly “Artifacts” are, what the tool is tracking, and take a look at the onboarding process for users.2020-05-0754 min
Gradient Dissent: Conversations on AIAngela & Danielle — Designing ML Models for Millions of Consumer Robots👩💻👩💻On this episode of Gradient Dissent our guests are Angela Bassa and Danielle Dean!
Angela is an expert in building and leading data teams. An MIT-trained and Edelman-award-winning mathematician, she has over 15 years of experience across industries—spanning finance, life sciences, agriculture, marketing, energy, software, and robotics. Angela heads Data Science and Machine Learning at iRobot, where her teams help bring intelligence to a global fleet of millions of consumer robots. She is also a renowned keynote speaker and author, with credits including the Wall Street Journal and Harvard Business Review.
Follow Angela on twitter: https://twitter.com/angebassa
And on her website: ht...2020-05-0652 min
Gradient Dissent: Conversations on AIJack Clark — Building Trustworthy AI SystemsJack Clark is the Strategy and Communications Director at OpenAI and formerly worked as the world’s only neural network reporter at Bloomberg. Lukas and Jack discuss AI policy, ethics, and the responsibilities of AI researchers.
Toward Trustworthy AI Development: Mechanisms for Supporting Verifiable Claims by OpenAI: https://arxiv.org/abs/2004.07213
Follow Jack Clark on Twitter: twitter.com/jackclarkSF
Read more posts by Jack on his website: https://jack-clark.net/
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🤖Gradient Dissent by Weights and Biases
Get a...2020-04-2255 min
Gradient Dissent: Conversations on AIRachael Tatman — Conversational AI and Linguistics🏅 See how W&B is your secret weapon to make it onto the Kaggle leaderboards - https://www.wandb.com/kaggle
👩💻Rachael Tatman is a developer advocate for Rasa, where she helps developers build and deploy conversational AI applications using their open source framework. 🤖💬 She has a PhD in Linguistics from the University of Washington where she researched computational sociolinguistics, or how our social identity affects the way we use language in computational contexts. Previously she was a data scientist at Kaggle where she’s still a Grandmaster.
💻Keep up with Rachael on her website: http://www.rctatman.com/
🐦Follow Rachael on twitter: https...2020-04-0736 min
Gradient Dissent: Conversations on AINicolas Koumchatzky — Machine Learning in Production for Self-Driving Cars👨🏻💻Nicolas Koumchatzky is the Director of AI infrastructure at NVIDIA, where he's responsible for MagLev, the production-grade machine learning platform by NVIDIA. His team supports diverse ML use cases: autonomous vehicles, medical imaging, super resolution, predictive analytics, cyber security, robotics. He started as a Quant in Paris, then joined Madbits, a startup specialized on using deep learning for content understanding. When Madbits was acquired by Twitter in 2014, he joined as a deep learning expert and led a few projects in Cortex, include a real-time live video classification product for Periscope. In 2016, he focused on building an scalable AI platform for the company...2020-03-2144 min
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)Managing Deep Learning Experiments with Lukas BiewaldToday we're joined by Lukas Biewald, CEO and Co-Founder of Weights & Biases. Lukas founded the company after seeing a need for reproducibility in deep learning experiments. In this episode, we discuss his experiment tracking tool, how it works, the components that make it unique, and the collaborative culture that Lukas promotes. Listen in to how he got his start in deep learning and experiment tracking, the current Weights & Biases success strategy, and what his team is working on today.
2019-08-2942 min
Flyover Labs PodcastLukas Biewald, Founder of CrowdFlower - InterviewAn excellent interview with the Founder of CrowdFlower, Lukas Biewald.2017-07-2700 min![[Array] Podcast](https://content.production.cdn.art19.com/images/2e/df/a8/40/2edfa840-45fa-40dd-bf9b-7a3bb4256ae4/540e41194155a7f5b0dc749c859927f9d03eb41f72d7d5e35053eef4539787fa7bf155f0c3978567dd2f134a67963b147281ac48cb34aee10bdcc142a1ab0bea.jpeg)
[Array] PodcastLukas Biewald founder of Figure8/Crowdflower on how bigger companies use AILukas Biewald, founder of Crowdflower, will be talking about the Future and problems in AI, training data sets, and how AI is used at bigger companies.2017-04-1026 min