fast.ai, every mention
20 scenes · ← back to fast.ai
tap a year for its mentions
every year anyone Jeremy Howard 15Swix (Shawn) 4Suhail Doshi 2Shawn Wang 1Robert McCloy 1
Verbatim, from the transcripts: the passages where fast.ai comes up
AI is Eating Search
- ▶ 39:00 Robert McCloy And I think a lot of people who are a little bit further removed from the odd, like the original audience, like the fast AI guys for LMS.txt sort of like have mistaken what it's for.
Information Theory for Language Models: Jack Morris
- ▶ 10:34 Shawn Wang And then the other one would be the fast AI team.
[Paper Club] Embeddings in 2024: OpenAI, Nomic Embed, Jina Embed, cde-small-v1 - with swyx
- ▶ 33:01 unnamed speaker Uh, yeah, anyone from the sort of fast AI community would be horrified that you should start from random weights.
Answer.ai & AI Magic with Jeremy Howard
- ▶ 2:54 Jeremy Howard Yeah, I've, you know, that's been our kind of continuous message since we started Fast AI, is if you're training for random weights, you better have a really good reason, you know, because it seems so unlikely to me that nobody has ever…
- ▶ 4:27 Jeremy Howard It's not a huge difference, but it's like we're back, you know, I always used to get offended when people had learning rates that, like, jumped, and so one of the things I started doing early on in Fast.ai was to say to people, like, no,… 4 times in the scene
- ▶ 27:59 Jeremy Howard Outrageously creative and talented, and he's super, like, enthusiastic tinkerer, um, just likes making things, and, um, you know, Benjamin was one of the strongest parts of the fast.ai community, which is now the alumni.
- ▶ 40:44 Jeremy Howard Actually, a lot of that had been put together, like a lot of the stuff I discovered, the interesting stuff had been put together by Les Wright, who's, uh, he was actually the guy in the FastAI community I mentioned, who created the Ranger…
- ▶ 44:37 Jeremy Howard Also, the PyTorch team have created this Torch AO project on quantization, um, and so there's a, yeah, big overlap now between, kind of, the fast AI and answer AI and CUDA mode communities of people, um,
- ▶ 47:27 Swix (Shawn) Um, we're moving on a little bit to the rest of the fast universe. 4 times in the scene
The AI-First Graphics Editor - with Suhail Doshi of Playground AI
- ▶ 2:10 Suhail Doshi And I did all these fast AI courses trying to learn about ML and that was the, that's the first time you did fast AI. 2 times in the scene
- ▶ 8:51 unnamed speaker Uh, you started exploring, um, the AI stuff in June, twenty-twenty-two, which is when you started saying, like, I'm taking fast AI again.
The End of Finetuning — with Jeremy Howard of Fast.ai
- ▶ 3:53 unnamed speaker Um, and anyway, just to, just to round out the bio, you have a lot more other, uh, credentials, obviously, but, um, uh, most recently you started Fast.ai, which is, which is still, I guess, your primary identity, uh, with Rachel Thomas.
- ▶ 4:13 unnamed speaker I can't imagine a better way to describe it than fast. 2 times in the scene
- ▶ 6:35 Jeremy Howard So, okay, so we started Fast.ai, um, my wife and I, and we, yeah, so we're trying to think, okay, how do we make it more accessible? 2 times in the scene
- ▶ 19:42 Jeremy Howard It felt like these bigger lab, much bigger labs, you know, like fast.ai had only ever been just me and Rachel were getting all of this attention for an approach I thought was the wrong way to do it.
- ▶ 22:28 unnamed speaker Um, and the other thing before we jump into fast AI, actually, you know, a lot of people that I know, they run across a new architecture and whatnot, they're like, I gotta start a company and raise a bunch of money and do all of this stuff. 6 times in the scene
- ▶ 28:59 unnamed speaker Uh, so just to reintroduce Fast.ai for, uh, people who may not have, uh, dived into it much, um, there is the, the courses that you do, there is the library that is, uh, that is, um, very, uh, well loved, and I kind of think it, think of… 6 times in the scene
- ▶ 49:43 Jeremy Howard You could just come to the fast.ai discord, which, I'll be honest with you, it's less bustling than some of the others, but it's,
- ▶ 57:40 Jeremy Howard So I was thinking you should create, like, a fast AI for this. 2 times in the scene
- ▶ 1:11:22 Jeremy Howard You know, maybe, maybe FastAI's goals can be dramatically expanded now to being like, let's make coding more accessible, you know, or kind of AI-oriented coding more accessible.