Hugging Face, every mention
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every year anyone Matt Turck 59Clement Delangue 37Milos Rusic 9Richard Socher 5Brandon Duderstadt 5Thomas Wolf 4Sharon Zhou 3Lin Qiao 3Sebastian Raschka 2Amr Awadallah 2
Verbatim, from the transcripts: the passages where Hugging Face comes up
AI Could Take Over in 2029. Is It Already Too Late?
- ▶ 3:35 Matt Turck So, uh, specifically when I paused, it's, uh, Astra model over, over safety, uh, you know, following the hugging face incident.
- ▶ 1:04:57 Matt Turck Um, just a quick word on, uh, the Hugging Face incident.
“OpenAI’s Model Hacked Us” - Hugging Face’s Thomas Wolf
- ▶ 0:33 Matt Turck Today, my guest is Thomas Wolff, co-founder and chief science officer at Hugging Face. 2 times in the scene
- ▶ 6:48 Thomas Wolf I mean, mind blowing, but we can also talk a lot about that, but we've been working on agent collaboration at Hugging Face recently as well on the science side, and we saw how good these agents are and how actually, um, I would say tempted…
- ▶ 20:48 Thomas Wolf Um, I think the main reason is probably that until recently and until the open AI hugging face attack, people had maybe a little bit of, uh, um, limited, um,
- ▶ 31:58 Thomas Wolf I think that's kind of the idea of open science, and that's something we advocate a lot at Honey Face.
- ▶ 47:14 Thomas Wolf And most of them, and we see them at TakiFace, most of them need open source models.
State of LLMs 2026: RLVR, GRPO, Inference Scaling — Sebastian Raschka
- ▶ 1:03:45 Sebastian Raschka But then the beautiful thing here is also someone already implemented that in a hugging phase, the transformers architecture.
- ▶ 1:03:45 Sebastian Raschka But then the beautiful thing here is also someone already implemented that in a hugging phase, the transformers architecture.
Why This Ex-Meta Leader is Rethinking AI Infrastructure | Lin Qiao, CEO, Fireworks AI
- ▶ 1:01 Lin Qiao Despite DeepSig model extremely hard to tune and optimize, more than 500 variants published on Hugging Face, optimizing for local device, optimizing for cloud infrastructure.
- ▶ 11:00 Lin Qiao And, and Hugging Face is one example of adopting, ah, and becoming the ripple, ah, centralized ripple for new research ideas.
- ▶ 56:40 Lin Qiao There are 500, more than 500 variants published on Hugging Face, optimizing for, um, for local device, optimizing for cloud infrastructure.
Top AI Researcher on GPT 4.5, DeepSeek and Agentic RAG | Douwe Kiela, CEO, Contextual AI
- ▶ 0:31 Matt Turck He then became head of research at Hugging Face before starting Contextual AI in 2023, while also teaching as an adjunct professor at Stanford University.
State of AI 2024: Frontier Models, AI Geopolitics, Robotics | Nathan Benaich, Air Street Capital
- ▶ 11:25 Matt Turck We had Clem from Hugging Face on this podcast a couple weeks ago, a few weeks ago, and we were talking about this, and, uh, is it sort of, sort of unclear why that happened? 2 times in the scene
- ▶ 15:31 Nathan Benaich The, the question I asked myself is, okay, if there are half a billion downloads on arguing face of this open source model, and they're pouring a bajillion resources into this, why is it that OpenAI and Anthropics revenue keeps ripping?
Can AI Infrastructure Work Like Magic? Erik Bernhardsson, CEO, Modal
- ▶ 20:23 Matt Turck Effectively, I go on hugging face and grab some
- ▶ 20:29 Erik Bernhardsson Yeah, you can, you can definitely like take a hugging face model and deploy it.
The $4.5B Platform Driving the Open Source AI Revolution | Clem Delangue, CEO, Hugging Face
- ▶ 0:03 Matt Turck Today, we have a fantastic episode with Clément DeLong, the CEO of HuggingFace. 6 times in the scene
- ▶ 2:02 Clement Delangue Uh, to Kingface, we have a fully remote culture. 6 times in the scene
- ▶ 7:34 Clement Delangue As a matter of fact, open AI is using open source as a customer of Fergingface, and obviously is building on top of the open research, right, as I was mentioning.
- ▶ 18:50 Clement Delangue So we just crossed one million public models on Hugging Face.
- ▶ 20:42 Matt Turck Yeah, that's fascinating, and I guess that's a big part of the thesis, especially for the sort of enterprise and business part of, uh, of hugging face, uh, but, um, so. 4 times in the scene
- ▶ 28:04 Matt Turck For the second half of this conversation, let's talk about Hugging Face starting with the founding story. 5 times in the scene
- ▶ 31:20 Matt Turck And that became the Transformers library. 4 times in the scene
- ▶ 34:17 Clement Delangue And collectively they built over 300,000 spaces which are the apps, ah, on, on the Hugging Face platform.
- ▶ 34:17 Clement Delangue And collectively they built over 300,000 spaces which are the apps, ah, on, on the Hugging Face platform.
- ▶ 37:10 Matt Turck You know, the next, the next hugging phase.
- ▶ 37:49 Clement Delangue I think what we excited about too is that, uh, um, we're profitable, uh, these days. 6 times in the scene
- ▶ 40:17 Clement Delangue Topic expansion, um, because datasets are growing fast on Hugging Face, and, and we think it's a very important artifact of the AI building process. 4 times in the scene
- ▶ 44:16 Clement Delangue Yeah, my favorite page on the Hugging Face platform is the trending, ah, model feed, where every week you can see kind of like new models emerging on a lot of different domains, right? 2 times in the scene
- ▶ 47:25 Matt Turck So models, datasets, spaces. 4 times in the scene
- ▶ 47:52 Clement Delangue One thing that is sometimes, uh, um, not, that, that people don't really realize is that, uh, a big part of the usage of the Hugging Face platform now is in private mode. 4 times in the scene
- ▶ 50:28 Matt Turck And, uh, so let, let, let's get into the, um, sort of business model part of, of hugging face. 3 times in the scene
- ▶ 52:08 Clement Delangue And we do this with, uh, collaborations with the cloud providers, uh, and with our own cloud offering with, like, inference endpoints and, and spaces, GPU.
- ▶ 53:20 Clement Delangue Kind of like growing the most for us lately is this concept of, uh, Enterprise Hub. 3 times in the scene
- ▶ 53:26 Clement Delangue In the sense that, uh, we have hundreds of, 100,000 organizations using the Hugging Face Hub, and the idea is for small percentage of them, uh, especially the, the most expert ones.
- ▶ 55:07 Matt Turck You don't, um, develop your own models, is that fair? 10 times in the scene
- ▶ 55:13 Matt Turck Because I, I, um, so obviously you got the Transformer library, which is, which is a library, but, um, you all were very involved in Bloom.
- ▶ 58:38 Matt Turck Maybe to close the conversation, um, maybe a few words on, you know, a combination of, uh, entrepreneurial lessons and the hugging face culture, because, uh, I think you guys have a very strong identity as a company that, um, doesn't… 5 times in the scene
- ▶ 1:04:45 Matt Turck So maybe to close, uh, next year for you, for the company, for your investment portfolio, any plans, projects, roadmaps, like anything, uh, that you look forward to? 4 times in the scene
AGI, The Future of AI Agents And The Next Wave of Opportunities in AI | Richard Socher, CEO, You.com
- ▶ 0:55 Richard Socher I invested in these three founders creating this cute company called Hugging Face. 2 times in the scene
- ▶ 1:14:12 Richard Socher Uh, like for instance, I invested, uh, in, uh, these two, uh, three founders, uh, creating this cute company called Hugging Face.
Making AI Work: Fine-Tuning, Inference, Memory | Sharon Zhou, CEO, Lamini
- ▶ 19:30 Sharon Zhou Yeah, we have Hugging Face's model loader integrated, so any LLM, uh, open source LLM there, uh, can be used, downloaded, um, if, if you're online, you download it automatically from, uh, Hugging Face. 2 times in the scene
From Tiny Romanian Startup to Global AI Automation Leader | Daniel Dines, CEO of UIPath
- ▶ 51:11 Daniel Dines It's not really intended to take anything from hugging face and then just run it in AI center, but it runs well our own models customized for the needs of customers.
Navigating the AI Landscape: A Survival Guide | 2024 MAD Landscape with Matt Turck and Aman Kabeer
- ▶ 9:36 Aman Kabeer Hugging face home page is, it's hard to even navigate. 2 times in the scene
2024 will be the year of ENTERPRISE AI | Florian Douetteau, CEO of Dataiku
- ▶ 19:39 Florian Douetteau Yeah, so we, we built, ah, this in order to essentially integrate with all of the vendors on the market, integrating with Hugging Face, AWS Bedrock, OpenAI, and, ah, Google.
Vector databases and the $8 trillion open source market | Bob van Luijt, CEO of Weaviate
- ▶ 9:37 Bob van Luijt For those interested, you can actually, if you go into the, uh, the Hugging Face library, you can see first iterations of it.
How Nomic AI Is Driving The Open Source Revolution
- ▶ 10:00 Brandon Duderstadt Hugginface is doing really awesome work there.
- ▶ 17:48 Brandon Duderstadt Um, so we're actually doing a collaboration with HuggingFace recently on their open source Idefix model, looking at, you know, where that model performs systematically well and systematically poorly, and all of the places, you know, in, in… 2 times in the scene
- ▶ 38:25 Brandon Duderstadt Plus we have sick AI heavy hitters in New York, like hugging face has an office in Brooklyn. 2 times in the scene
Custom LLMs at Scale: Lamini CEO Sharon Zhou’s Playbook for Enterprise AI
- ▶ 11:08 Sharon Zhou Um, and they bring, um, some of their, you know, either their own models or, uh, models on Hugging Face, like any model from Hugging Face, essentially.
- ▶ 23:56 Matt Turck So you, you mentioned as well as you were describing the product, um, you know, grabbing models of, um, hugging face, um, and Lama too, as a, as an example.
Secure, Private, Powerful: Dust’s Vision for Enterprise AI Agents | Stanislas Polu
- ▶ 44:11 Matt Turck Uh, but, you know, it's yet another example, like, well, you know, with your guys with hugging face, who's did I, who is, uh, you know, right on, you know, others of just like the vitality, uh, of, of AI in, in, in France, uh, and, uh, you…
Guardrails AI: The Playbook for Safer, Hallucination-Free LLMs — Shreya Rajpal Explains
- ▶ 20:09 Matt Turck Maybe, maybe I'm wrong, but like given the above, um, if I'm an enterprise and I'm thinking whether I want to, you know, work with, uh, GPT for whichever other proprietary sort of, um, you know, API kind of system versus, uh, grabbing…
- ▶ 45:16 Matt Turck So maybe to, um, to close, uh, taking a step back, um, and still, you know, in a, in a, as, as part of a general desire to, to make this educational for, for folks, uh, you know, you, you're navigating, uh, in all the right, uh, crowds,…
From NLP Start-Up to Generative-AI Platform: Milos Rusic (deepset) Unpacks Product-Market Fit
- ▶ 4:35 Milos Rusic Uh, we were among the early contributors also into hugging face transformers.
- ▶ 13:15 Milos Rusic If you want to use an open source model from Hugging Face, or if you want to use, uh, GPT-free for,
- ▶ 14:21 Milos Rusic Um, of course, the OpenAI models, um, which are in particular, very well performing for, um, all generative use cases, uh, but we see, uh, the Hugging Face models, um, from the Hugging Face Hub, um, the full hub is supported, um, are still… 3 times in the scene
- ▶ 14:21 Milos Rusic Um, of course, the OpenAI models, um, which are in particular, very well performing for, um, all generative use cases, uh, but we see, uh, the Hugging Face models, um, from the Hugging Face Hub, um, the full hub is supported, um, are still… 2 times in the scene
- ▶ 17:12 Milos Rusic Is it GPT, 3.5, or is it, um, is it, uh, is it, I don't know, uh, one of the T five models from, um, from the hugging face model hub.
- ▶ 42:42 Milos Rusic Uh, hugging face, um, is also still some kind of like, yeah, it's, it's actually still a European company, right?
Reinventing Search with AI: Richard Socher on Building You.com & the Future of Google
- ▶ 28:56 Richard Socher Um, and so, uh, one of my angel portfolio companies is Huggingface.
- ▶ 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
- ▶ 23:44 Lukas Biewald Um, it's gotten so much easier with great, like, offerings like Hugging Face making that easier, so now tons of people do it.
Entering the Data-Centric Era of Foundation Models with Alex Ratner, Co-Founder & CEO of Snorkel AI
- ▶ 15:35 Alex Ratner Um, so for those folks, we just do labeling data from scratch to train models from scratch, but increasingly, you know, as we move into this foundation model world, what we're doing is we're taking some kind of base model, again, could be…
LLM Powered Search | Vectara Founder & CEO, Amr Awadallah
- ▶ 23:32 Amr Awadallah So we don't, if we start talking to a developer and we start getting the developer asking us, uh, uh, why aren't using this model or that model that we saw on hugging face, we tell them, 2 times in the scene
A Conversation on The State of AI | Melanie Kambadur, Meta & Gideon Mann, Bloomberg
- ▶ 1:49 Gideon Mann Um, and, uh, so companies like Hugging Face, um, and, you know, Google's Colab, you know, enabled sharing of, of code, um, sharing of technology, and this just really increased the pace of innovation, and all these pieces have, you know,…
Fireside Chat: Jerome Pesenti (Head of AI, Facebook) with Matt Turck (Partner, FirstMark)
- ▶ 53:10 Jerome Pesenti I mean, you can see like, you know, there's a small company like Hugging Face making all these models available for everybody, really reducing the barrier trench for people to use the system.
NLP—The Most Important Field of ML // Clement Delangue, Hugging Face (FirstMark's Data Driven NYC)
- ▶ 0:27 Clement Delangue Uh, and I studied Hugging Face, um, three years ago now. 3 times in the scene
- ▶ 0:58 Clement Delangue Uh, and, um, and basically at, at Hugging Face, uh, we mostly known, uh,
- ▶ 1:04 Clement Delangue For having built the most popular, uh, open source NLP library, which is on GitHub, that is called, uh, Transformers.
- ▶ 2:18 Clement Delangue But enough about me, enough about hugging face.