stormtroper1721

Interestingly enough all the futureshops that I’ve seen were converted into bestbuys by only changing the colour of the branding material from red to blue - everything else literally stayed the same

The original name of the article is "How I (almost) replicated OpenAI's GPT-2 (124M version)" but HN keeps reformatting it to "I (almost) replicated OpenAI's GPT-2 (124M version)"

Can confirm, some programs and unis are very selective with very low acceptance rates but the average student doesn’t usually have too much trouble getting into a relatively good program without having to do standardized tests

Nope most do, I’m a homeschooled student and I got accepted into both UofT’s engsci and Uwaterloo software eng without a high school diploma.

they consider you on a case by case basis and recommend/require that you take 5-6 grade 12 courses that you can take at a school or through distance learning. Other standardized tests like the Sat and ap exams are also recommended

> can be implemented in a lazy afternoon

Hi, I'm working on making a tensor lib in Rust (think numpy + autodiff) to learn about these topics. There isn't much information online about how projects like numpy and autograd work under the hood.

Do you have any ideas/tips/resources about how it could be done?

I made a list a few weeks ago:

1. Finish my ml research project 2. Learn rust 3. Start a blog 4. Learn Lin alg and stats 5. Go through all of the deep learning book (goodfellow et al.) 6. Start working with GANs or RL

from: https://twitter.com/stormtroper1721/status/12421529408627220...

Other than that, I'm working on building my own Numpy-like array lib in Rust. I'd be glad to chat about it if anyone's interested

"You miss 100% of the shots that you don't take" is one

I wrote a twitter thread on the key points on the article: https://twitter.com/stormtroper1721/status/12295782794320199...

I'm a high school student as well, I can confirm what Surya (what’s the chance I’d bump into you on a random HB thread ;) ) is saying.

NLP stuff is pretty advanced with things like BERT and T5, but even then, I imagine that doing accurate threat detection will be hard for nns

Is this on GitHub? I'd love to take a look since I'm thinking of making my own ml library to learn more about how frameworks like pytorch and tensorflow work

Machine learning, kaggle competitions, trying out GPT2 and BERT, learnt c++, thinking of learning Julia and rust, started a community for teens interested in coding and machine learning (reddit.com/r/teensintech)

Trying to start your own ml research project. It's pretty hard especially when you don't have any formal credentials or training.

Is there anyone else here who's been doing ml research without a degree in ml?