I like to tell people Gpt is more like writing an essay for English class or the sat than a research paper for a history class. It cares about grammatical correctness, readability is a better way to put that, that’s how you’re graded in English. It’s not graded on accuracy or truth. For the sat they used to say you can make up quotes for the essay section because they’re grading the writing, not the content. (I realize that’s dated, I don’t think they do an essay anymore)

It wouldn’t necessarily be easy. But you say you want one detectable by some “key or other model” you can already design or use a model to detect if it was generated by Gpt, so it wouldn’t really need to use a watermark if you’re using a model. And if you’re using a more traditional watermark for digital pictures it could be very easily removed.

If you think the real world data will be similar to your samples it's fine. But that's unlikely if you got this dataset that's so skewed. Loos up alternative metrics like F score etc. so that you can try to scale what's important metrics when training (false positive vs false negative etc.)

what you linked there is algorithms for imbalanced classification, usually the same algorithm is fine, but you want a different loss metric.

There’s huge demand for data science stuff in the us, is that not the case in the UK? I kinda figured that would be a well paying position anywhere

Rather than a direct competitor, I wonder if there would be a use case where you might use both backprop and ff at different times and could get good results. So it wouldn’t have to be directly better than backprop, it could be only better for certain use cases

A similar thread was actually posted a couple weeks ago: https://www.reddit.com/r/MachineLearning/comments/ylixp5/d_what_are_the_major_general_advances_in/

I hadn’t seen that before but I was going to say basically the same thing, if it’s coming from him it’s undoubtedly good advice

For fine tuning like that you’ll just have to try it out and move lower when necessary.

I feel like if your going to include transformers you should include the attention is all you need paper.

I used to do one. But I realized recently I didn’t have a real reason why. Just because we read one at a time in school? In school I could pay attention to more than one subject at once so I can read more than one book at once.

To answer the question 4right now: mason and Dixon, moby dick, the sun also rises, and the odyssey (Fagles translation).

It’s not like I’m on a time limit so if I read four at once I’ll just read slower, but there’s no problem with that.

Yeah it’s interesting how often this gets attributed to her with no backing. It’s even in the cover of one of her books, but she never actually wrote it.

https://checkyourfact.com/2019/08/28/fact-check-george-eliot-never-late-might-have-been-quote/

I wish, but as they said in the article: a rezoning got stopped and reduced literally earlier this week. The post about it is still up on this sub. https://www.reddit.com/r/nyc/comments/yeq8fd/city_council_moves_forward_with_gowanus_rezoning/

wow, I wasn't familiar with this specific proposal, so i read the article. They literally halved the amount of housing that can be built there. This is a terrible decision that hurts anyone but the extremely wealthy that can buy new units as investment property and not live in them. Ridiculous for a coucilwoman calling herself progressve to support this.

Very nice, not quite as much control as the automatic1111 colab, but for a free webapp it’s awesome