LoRA, every mention
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tap a year for its mentions
every year anyone Shawn Wang 8Soumith Chintala 2Jeremy Howard 2Allen Park 2Gorkem Yurtseven 1George Hotz 1Dan Biderman 1
Verbatim, from the transcripts: the passages where LoRA comes up
Next 100x in AI: Inference, Networking, & Self-Optimizing Models — Philip Kiely & Ali Taha, Baseten
- ▶ 1:39:51 Shawn Wang And there's a LoRa layer if you just only update LoRa's. 2 times in the scene
The AI Memory Problem: Why Long Context Isn’t Enough — Dan Biderman, Engram Co-founder & CEO
- ▶ 4:00 Dan Biderman So started working at mosaic, uh, where I worked on Laura and met a bunch of great people.
- ▶ 27:03 Allen Park And so are you doing parameter-efficient fine-tuning for specific companies, like LoRa, based off of the corpus? 2 times in the scene
⚡️Every product of the future will be a living system — Ronak Malde, Trajectory.ai
- ▶ 9:34 unnamed speaker You really see LoRa recently?
[State of AI Papers 2025] Fixing Research with Social Signals, OCR & Implementation — Team AlphaXiv
A Technical History of Generative Media
- ▶ 8:13 Gorkem Yurtseven Deploying a stable diffusion application, maybe using some LoRa's on top of it, different versions of it in painting, out painting, things like that.
AI Video Is Eating The World — Olivia and Justine Moore, a16z
- ▶ 27:08 unnamed speaker Flora raised a big round recently, visual lectures I have heard, these two I've heard less of.
AI Engineering for Art - with comfyanonymous
- ▶ 23:48 Shawn Wang And then coming back to LoRa's. 6 times in the scene
Answer.ai & AI Magic with Jeremy Howard
- ▶ 22:24 Jeremy Howard Um, uh, who, um, after our FSTP QLaura work decided, quite correctly, that it didn't really make sense to use Laura in today's world. 2 times in the scene
Open Source AI is AI we can Trust — with Soumith Chintala of Meta AI
- ▶ 1:07:23 Soumith Chintala Um, so, I think, uh, on the open source models, like, it's going great in the fact that LoRa, I think, came out of the necessity of open source models, uh, needing to be fine-tunable in some way. 2 times in the scene
Ep 18: Petaflops to the People — with George Hotz of tinycorp
- ▶ 44:22 George Hotz You start to see these things like Laura, like, ah, you're getting, you're getting kind of, it's kind of blurring the lines between inference and training.