#192 Lukas Biewald: How Weights and Biases Supercharges Machine Learning
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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.
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(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
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 tech founder and AI expert, offering key strategies for startups seeking to connect with early users, and for enterprises experimenting with AI. He highlights the melding of AI and traditional web development, sharing his insights on product evolution, leadership, and the power of customer conversations—even for the most introverted founders. He shares how personal development and authentic co-founder relationships enrich business dynamics. Join us for a compelling episode brimming with actionable advice for those looking to innovate with language models, all while managing the inherent complexities. Don't miss Chris Van Pelt's invaluable take on the future of AI in this thought-provoking installment of Gradient Dissent Business.
We discuss:
0:00 - Intro
5:59 - Impactful relationships in Chris's life
13:15 - Advice for finding co-founders
16:25 - Chris's fascination with challenging problems
22:30 - Tech stack for AI labs
30:50 - Impactful capabilities of AI models
36:24 - How this AI era is different
47:36 - Advising large enterprises on language model integration
51:18 - Using language models for business intelligence and automation
52:13 - Closing thoughts and appreciation
Thanks for listening to the Gradient Dissent Business podcast, with hosts Lavanya Shukla and Caryn Marooney, brought to you by Weights & Biases. Be sure to click the subscribe button below, to keep your finger on the pulse of this fast-moving space and hear from other amazing guests
#OCR #DeepLearning #AI #Modeling #ML
#153 COO & CRO Weights & Biases, Yan-David Erlich: ML’s Moment
Guest: Yan-David Erlich, COO and CRO of Weights & Biases
After starting four companies, Yan-David Erlich had found happiness and success as a GP in Coatue’s venture fund — but then, after investing in the AI developer platform Weights & Biases, he realized the time was right to get back into operating. That was not a decision he made lightly, consulting with his wife before he became the startup’s COO. The challenges of entrepreneurship get easier, he explains, when you have a supportive partner in your corner. That’s why he believes he could roll with the loss of his home or his job or his money — but not her.
In this episode, Yan-David and Joubin discuss Snowflake vs. Amazon, Slack vs. Microsoft Teams, Donald Trump, charting your own destiny, regret minimization, alternate selves, Michael Dearing, chips on your shoulder, Google Glass, industrial sales, the AI & ML window, hairball problems, fixing giant messes, and fighting a bear.
In this episode, we cover:
The advantage of speed (01:06)
Competing against a massive business (05:24)
Idiocy and secrets (09:45)
Yan-David’s past companies (12:34)
His philosophy on life (17:17)
Leaving LinkedIn (22:14)
Anxiety and regret (26:27)
The failure of Happiness Engines (34:43)
Why Yan-David left Parsable after five years (38:05)
Coatue’s venture fund (46:13)
Weights & Biases and the ML moment (48:08)
Why AI is still underhyped (51:05)
From investor to board member to COO to CRO (55:20)
Being a good lieutenant (58:51)
The hidden costs of operating (01:01:33)
Successful entrepreneurs and happy relationships (01:05:55)
Who Weights & Biases is hiring & what “grit” means to Yan-David (01:10:26)
Links:
Connect with Yan-DavidLinkedIn
Connect with JoubinTwitter
LinkedIn
Email: grit@kleinerperkins.com
Learn more about Kleiner Perkins
This episode was edited by Eric Johnson from LightningPod.fm
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.
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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:
📍 Twitter: https://twitter.com/borisdayma
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💬 Host: Lukas Biewald
📹 Producers: Cayla Sharp, Angelica Pan, Sanyam Bhutani, Lavanya Shukla
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#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.
