#192 Lukas Biewald: How Weights and Biases Supercharges Machine Learning
This 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 us as we sit down with Lukas Biewald, CEO & co-founder of Weights & Biases, the AI developer platform with tools for training models, fine-tuning models, and leveraging foundation models.
Lukas takes us through his journey, from his early days at Stanford and his work in natural language processing, to the founding of CrowdFlower and its evolution into a major player in data annotation. He shares the insights that led him to start Weights and Biases, aiming to provide comprehensive tools for the entire machine learning workflow.
Lukas discusses the importance of high-quality data annotation, the shift in AI applications, and the role of reinforcement learning with human feedback (RLHF) in refining large models.
Discover how Weights and Biases helps ML practitioners with data lineage and compliance, ensuring that models are trained on the right data and adhere to regulatory standards. Lukas also highlights the significance of tracking and visualizing experiments, retaining intellectual property, and evolving the company's products to meet industry needs.
Tune in to gain valuable insights into the world of ML Ops, data annotation, and the critical tools that support machine learning practitioners in deploying reliable models.
Don't forget to like, subscribe, and hit the notification bell for more on groundbreaking AI technologies.
Stay Updated:
Craig Smith Twitter: https://twitter.com/craigss
Eye on A.I. Twitter: https://twitter.com/EyeOn_AI
(00:00) Preview and Intro
(01:39) Lukas's Background and Career
(04:09) Founding CrowdFlower and Early Machine Learning
(06:59) Current Trends in Machine Learning
(08:46) Reinforcement Learning with Human Feedback (RLHF)
(12:43) Weights and Biases: Origin and Mission
(16:44) Visualizations and Compliance in AI
(22:43) US vs. EU AI Regulations
(25:20) Importance of Experiment Tracking in ML
(28:47) Evolving Products to Meet Industry Needs
(30:38) Prompt Engineering in Modern AI
(33:34) Challenges in Monitoring AI Models
(37:25) Monitoring Functions of Weights and Biases
(39:33) Future of Weights and Biases
Eradicating Machine Learning Pain Points with Weights & Biases CEO Lukas Biewald
How 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.
Prior to founding Weights & Biases, Lukas attacked the problem of data collection for model training as the Founder of Figure Eight, which he sold in 2019. He holds an MS in Computer Science and a BS in Mathematics from Stanford University.
Show Links:
Lukas Biewald - CEO & Co-founder - Weights & Biases | LinkedIn
Weights & Biases
Sign up for new podcasts every week. Email feedback to show@no-priors.com
Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil | @l2k
Show Notes:
[0:00:00] - Lucas Wald's Journey in AI
[0:08:16] - Startup Evolution and Machine Learning
[0:18:54] - Open Source Models Implications and Adoption
[0:29:54] - ML Impact in Various Industries
[0:40:27] - Advice for AI Company Founders
Lukas Biewald of Weights and Biases: solving pain-points of AI researchers
Lukas Biewald of Weights and Biases joins Host Pieter Abbeel to discuss solving the pain-points of AI researchers and practitioners.
Subscribe to the Robot Brains Podcast today | Visit therobotbrains.ai and follow us on YouTube at TheRobotBrainsPodcast and Twitter @therobotbrains.
Hosted on Acast. See acast.com/privacy for more information.
#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 Daphne Koller.
Lukas Biewald
https://twitter.com/l2k
[00:00:00] Preamble
[00:01:27] Intro to Lukas
[00:02:46] How did Lukas build 2 sucessful startups?
[00:05:49] Rebalancing games with ML
[00:08:14] Elevator pitch for WandB
[00:10:38] Science vs Engineering divide in ML DevOps
[00:14:11] Too much focus on the minutiae?
[00:18:03] Vertical information sharing in large enterprises (metrics)
[00:20:37] Centralised vs Decentralised topology
[00:24:02] Generalisation vs specialisation
[00:28:59] Enhancing explainability
[00:33:14] Should we try and understand "the machine" or is testing / behaviourism enough?
[00:36:55] WandB roadmap
[00:39:06] WandB / ML Ops competitor space?
[00:44:10] How is WandB differentiated over Sagemaker / AzureML
[00:46:02] WandB Sponsorship of ML YT channels
[00:48:43] Alternatives to deep learning?
[00:53:47] How to build a business like WandB
Panel: Tim Scarfe Ph.D and Keith Duggar Ph.D
Note we didn't get paid by Weights and Biases to conduct this interview.
Killer developer tools for machine learning
Weights & 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.
Featuring:
Lukas Biewald – Website, GitHub, X
Chris Benson – Website, GitHub, LinkedIn, X
Daniel Whitenack – Website, GitHub, X
Show Notes:
Weights & Biases
Blueriver case study from W&B
W&B gallery
Upcoming Events:
Register for upcoming webinars here!
The Whys and Hows of Managing Machine Learning Artifacts with Lukas Biewald - #373
Today 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.
Managing Deep Learning Experiments with Lukas Biewald - TWIML Talk #295
Today 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.
