Evidence receipt / belief
Published · transcript-backedNathan Lambert: belief
19 Jul 2023 Latent Space Llama 2: The New Open LLM SOTA (ft. Nathan Lambert, Matt Bornstein, Anton Troynikov, Russell Kaplan, Whole Mars Catalog et al.)
“I, I think the commercial use of this is gonna be off the charts very soon, like at hugging face.”
Source trail
Everything needed to verify it.
- Speaker
- Nathan Lambert
- Attribution
- Verified speaker
- Claim type
- belief
- Recorded
- 19 Jul 2023
- Publisher
- Latent Space
Transcript context
…which you have to note, like in the LAMA two paper itself, they also use other company models to do their evaluations. Right? Like so and I, and you know, a strict reading of the, of those clauses would not allow them from from that. Nathan, actually a quick follow up. Hugging face has its own license, the rail license. I think there was some iteration following this stable diffusion release. Would you, would that be appropriate for something like Alama two? Yeah, I think it's good. I don't have a hundred percent knowledge of rail. My understanding is that it's like, generally the goal is to be like commercially available with good intention and then there's kind of like, it starts to try to give leverage for people to come after bad actors using their models. I, I think the commercial use of this is gonna be off the charts very soon, like at hugging face. A lot of the monetization efforts are around like trying to enable commercial use of open source language models. And the license questions have been a constant discussion for the last six months from things we're trying to build and from customers. So like this is definitely going to be used. Yeah. Yeah. Okay. So I don't, it's, it's do we have, we have a lot of you know, insightful people here. I feel like the, the best way to organize this space is maybe to just kind of try to stick to as, as many sort of factual elements as we, as we can. I feel like Nathan, since you've done the most work you've had the most time with the paper, to be honest. What El maybe sort of pick on one other sort of element of, of the paper that you, that you find worth discussing and we can kind of go into that. Maybe the, sort of the, the pre-training base model stuff.…
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