app / uses
Anki
“And I really noticed this that I used Anki, and because it was always scheduling my cards just before I was about to forget them, it was always incredibly hard work.”
Public evidence record
Jeremy Howard
Published podcast speaker
- Claims
- 39
- Episodes
- 3
- Shows
- 2
- Named items
- 4
Books, apps, and tools
The evidenced stack.
tool / uses
Solveit
“It's like for me, when I use Solveit, it's the opposite of that experience you described with Claude Code. After a couple of hours, I feel energized and happy and fulfilled.”
app / uses
Solveit
“It's about, like, creating an environment where humans can grow and engage and share. It's like for me, when I use Solveit, it's the opposite of that experience you described with Claude Code.”
paper / uses
ULM Fit
“And then I read ULM Fit and turns out it did work. And so I did it, you know, bigger and it worked even better.”
Claim ledger
What Jeremy said.
4 transcript-backed records
01 / preference
I basically never have to use a debugger, because I basically never have bugs. And it's not because I'm a particularly good programmer, it's because I build things up small little steps, and each step works and I can see it working and I can interact with it.
“I basically never have to use a debugger, because I basically never have bugs. And it's not because I'm a particularly good programmer, it's because I build things up small little steps, and each step works and I can see it working and I can interact with it.”
- Speaker
- Jeremy Howard
- Publisher
- Machine Learning Street Talk
02 / preference
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 trained on data that has any similarity whatsoever to the general class of data you're working with, and that's the only situation in which I think starting from random weights makes sense.
“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 trained on data that has any similarity whatsoever to the general class of data you're working with, and that's the only situation in which I think starting from random weights makes sense.”
- Speaker
- Jeremy Howard
- Publisher
- Latent Space
03 / preference
I try to make like, when I work with some domain, I try to make it like, I want to make it as enjoyable as possible for me to do that. So I always try to kind of like, like with GHAPI, for example, I think that GitHub API is incredibly powerful, but I didn't find it good to work with because I didn't particularly like the libraries that are out there.
“I try to make like, when I work with some domain, I try to make it like, I want to make it as enjoyable as possible for me to do that. So I always try to kind of like, like with GHAPI, for example, I think that GitHub API is incredibly powerful, but I didn't find it good to work with because I didn't particularly like the libraries that are out there.”
- Speaker
- Jeremy Howard
- Publisher
- Latent Space
04 / preference
And then in step three, rather than fine tuning on a reasonably specific task classification, let's fine tune on a, on a RLHF task classification. And so that was really, that was really key, you know, so I was kind of like out of the NLP field for a few years there because yeah, it just felt like, I don't know, pushing uphill against this vast tide, which I was convinced was not the right direction, but who's going to listen to me, you know, cause I, as you said, I don't have a PhD, not at a university, or at least I wasn't then.
“And then in step three, rather than fine tuning on a reasonably specific task classification, let's fine tune on a, on a RLHF task classification. And so that was really, that was really key, you know, so I was kind of like out of the NLP field for a few years there because yeah, it just felt like, I don't know, pushing uphill against this vast tide, which I was convinced was not the right direction, but who's going to listen to me, you know, cause I, as you said, I don't have a PhD, not at a university, or at least I wasn't then.”
- Speaker
- Jeremy Howard
- Publisher
- Latent Space