Weights & Biases, every mention
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every year anyone Matt Turck 19Lukas Biewald 16Richard Socher 2Mike Knoop 1Brandon Duderstadt 1
Verbatim, from the transcripts: the passages where Weights & Biases comes up
Chasing Real AGI: Inside ARC Prize 2025 with Chollet & Knoop
- ▶ 31:29 Mike Knoop Lucas, the Boits & Weiss CEO.
How Nomic AI Is Driving The Open Source Revolution
- ▶ 13:21 Brandon Duderstadt I love that, you know, I think on a podcast right after GPT for all came out, I think it was the weights and biases podcast with Lucas.
Guardrails AI: The Playbook for Safer, Hallucination-Free LLMs — Shreya Rajpal Explains
- ▶ 45:40 Matt Turck Uh, weights and biases. 3 times in the scene
Reinventing Search with AI: Richard Socher on Building You.com & the Future of Google
- ▶ 29:31 Richard Socher Um, and, uh, another company's weights and biases, you know, help you train your own models now.
- ▶ 40:09 Richard Socher Um, uh, foundational companies that changed the software to point all stack the life on you face weights and biases.
Startup to Industry Standard: Lukas Biewald Explains How W&B Scaled MLOps for OpenAI, NVIDIA & More
- ▶ 0:11 Matt Turck Um, so to set it up, uh, you are the CEO and co-founder of Waits and Biases, um, AKA WONDB. 6 times in the scene
- ▶ 6:33 Matt Turck And, uh, you know, you have, uh, one B models, you have a platform, you have monitoring, you have prompts, which I believe is the most recent. 3 times in the scene
- ▶ 17:39 Matt Turck Almost daily usage on the OneB platform. 3 times in the scene
- ▶ 21:40 Matt Turck And, uh, if, uh, this one of LLM engineering AI is, is, uh, nascent and emerging, what is sort of the bread and butter in terms of like use cases that, uh, weights and biases in terms of where you see your customers, uh, use the platform. 2 times in the scene
- ▶ 26:13 Lukas Biewald I, I think that our, our TAM is, I mean, I'm talking to VC, I guess, I don't know if you believe this, but I, I genuinely believe, I'm not pitching you, but I think our TAM is like basically all the global 2000, they all, um, you know,… 11 times in the scene
- ▶ 41:09 Lukas Biewald Would I, like, hand them to this person?
- ▶ 45:58 Matt Turck And speaking of products in that general space, whether you've tried them or, or, or not yet, um, sort of taking your, your, your OneB hat off for, for a minute, what, what do you find, um, 2 times in the scene
- ▶ 49:45 Lukas Biewald Um, do pretty arbitrary data explorations, um, inside of weights and biases and will kind of handle the compute at scale. 4 times in the scene