Hugging Face, every mention

17 scenes (2023), the whole family · ← back to Hugging Face

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Verbatim, from the transcripts: the passages where Hugging Face comes up

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▶ 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.

▶ 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…

▶ 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,…

▶ 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?

▶ 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.

▶ 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.

▶ 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…

▶ 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

▶ 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,…

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