LoRA, every mention
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tap a year for its mentions
every year anyone Andreas Blattman 8Martin Casado 1Ali Ghodsi 1
Verbatim, from the transcripts: the passages where LoRA comes up
How OpenAI Builds for 800 Million Weekly Users: Model Specialization and Fine-Tuning
- ▶ 41:05 Martin Casado You know, um, you can Laura a bunch of image models, right?
Google DeepMind Developers: How Nano Banana Was Made
- ▶ 3:47 unnamed speaker The only time that I've seen that before is if, you know, you fine tune a model, you know, using Laura or some other method to like do that and you need multiple images and takes a really long time
The Future of AI Video: How Fal.ai is Making AI Video Faster & Easier
- ▶ 16:58 unnamed speaker Talking about the fine-tuning workflows and demand, we have seen a lot of difference in just, like, people focusing on more large-scale pre-training or large-scale post-training workflows, where a lot of developers on Fall are more doing…
Text to Video: The Next Leap in AI Generation
- ▶ 24:11 Andreas Blattman LoRa's are just really lightweight adapters, which can be fine-tuned onto a existing base model, which adapt the, the attention layers. 8 times in the scene
AI Food Fights in the Enterprise with Databricks' Ali Ghodsi
- ▶ 9:14 Ali Ghodsi There's LoRa, Q LoRa, so on and so forth.