idf00

5 ms·

1.
by idf00 2y ago
It's not to help people train models. It's for end-users to use in an LLM context (like Claude projects or cursor) to help them use your tool better.
2.
by idf00 2y ago
If you had python code and you didn't want it to have syntax highlighting or be run/imported or any of the other normal things that you do with python files, it might make sense to have python code in a .txt. file. Same idea here
3.
by idf00 2y ago
llms.txt doesn't seem to make it any easier or harder to do that.
4.
by idf00 2y ago
Yes. Converting docs to markdown and using them in claude projects, for example, makes a big difference.
5.
by idf00 2y ago
What do you have trouble reasoning about regarding FastHTML python compared to Jinja2 or Django templates? To me, it seems like a direct translation, and that's what makes it easy to reason about. I'm curious about what situations
6.
by idf00 2y ago
IMO it's not a "structure in one place" vs "more composable so more spread out" In HTML, you are much more likely to have things in one place because you don't have great options otherwise. In Python, you can c
7.
by idf00 2y ago
> YouTube instagram and Dropbox definitely don’t scale thanks to python But python doesn't prevent them from scaling either ;)
8.
by idf00 2y ago
> Once you grow beyond the "website" with simple interaction your front end becomes it's own universe I think this has been a major failing/pain point of web-dev that this MUST be the case. However, I think fastHTML
9.
by idf00 2y ago
Quarto supports any language and works just fine. I have quarto blog posts for using APL as an example of a somewhat niche language.
10.
by idf00 2y ago
I didn't see anything in the article that indicated the authors believed that those who don't see use cases for LLMs are anti-progress or anti-technology. Is that comment related to the authors of this article, or just a general
11.
by idf00 2y ago
They think they are real business use cases, because real businesses use them to solve their use cases. They know that chatgpt can't solve this off the shelf, because they tried that first and were forced to do more in order to solve
12.
by idf00 2y ago
Luckily it's not one or the other. You can fine tune and use RAG. Sometimes RAG is enough. Sometimes fine tuning on top of RAG is better. It depends on the use case. I can't think of any examples where you would want to fine t
13.
by idf00 3y ago
FYI this course does cover a lot of intuitive understanding of techniques, but it also does cover this theory. Everything is done from the foundation level, and all of the stuff you mentioned is taught and implemented from scratch as part
14.
by idf00 4y ago
Deep Learning from the Foundations IS part 2. They are not talking about how part 1 starts. They are talking about how part 2 starts. This mirrors how their book is written, with the content typically in Deep Learning for Foundations bei
15.
by idf00 4y ago
> I haven't taken the course, but that sounds like a horrible place to start a course on understanding deep learning. Sounds like you support the course author's decision to make this part 2 of the course series to be taken aft
16.
by idf00 4y ago
I think co-writing and co-teaching a math course at a deep learning company he co-founded, pinning that to the github repo and moving it close to the top of the home page makes it pretty clear he does see value in math in deep learning. I
17.
by idf00 4y ago
Fantastic course - Fastai courses are a must for anyone looking to learn Deep Learning/ML.
18.
by idf00 6y ago
If you knew him at all or had bothered to spend the time to look at his work and projects in any level of depth, you would know he is not a self-aggrandizing person. And if the arguement is that this is a gateway action that leads to other
19.
by idf00 6y ago
Why are people nitpicking about this? So the term/phrase he came up with was so descriptive that other people had also thought of the same term previously. He didn't steal anyones research on the topic, or steal code for the pro