Evidence receipt / belief
Published · transcript-backedLogan Kilpatrick: belief
23 Feb 2023 Latent Space ChatGPT, GPT4 hype, and Building LLM-native products — with Logan Kilpatrick of OpenAI
“I think there'll be like whole ecosystems and marketplaces that are sort of built around exactly what you just said, where you can sort of fine tune some of these models in like very specific ways and you can use other people's fine tunes.”
Source trail
Everything needed to verify it.
- Speaker
- Logan Kilpatrick
- Attribution
- Verified speaker
- Claim type
- belief
- Recorded
- 23 Feb 2023
- Publisher
- Latent Space
Transcript context
…a little bit on this. So in the stable diffusion community, there's a lot of practice of like, I'll fine tune a custom dis of stable diffusion and share it. And then there also, there's also this concept of, well, first it was textual inversion and then dream booth where you essentially train a concept that you can sort of add on. Is that what you're thinking about when you talk about transfer learning or is that something completely. I feel like I'm not as in tune with the generative like image model community as I probably should be. I, I think that that makes a lot of sense. I think there'll be like whole ecosystems and marketplaces that are sort of built around exactly what you just said, where you can sort of fine tune some of these models in like very specific ways and you can use other people's fine tunes. That'll be interesting to see. But, c.ai is, what's it called? C C I V I Ts. Yeah. It's where people share their stable diffusion checkpoints in concepts and yeah, it's…
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