67 karma · joined March 22, 2019
1. If you have a large amount of unlabeled data, labeling it using LLMs(even a costly XXXB parameter model) can be significantly cheaper than using humans.
2. Text classification works far better with LLMs compared to usual techniques like random forests.
3. We are exploring using LLMs on structured data(tables) for tasks like clustering, where it is difficult to tune other unsupervised approaches. Similarly we are exploring using LLM embeddings for similarity on unsupervised datasets.
4. LLMs could explain their decisions to users(e.g. why was your comment removed?) although work needs to be done on verifying it's correctness.
I wouldn't be surprised if LLM takes the spot of Random forest as the default go to for supervised ML.
1. Learned logic gates and built(in simulators) small circuits which can do addition/multiplication.
2. Used a 8085 board to write assembly programs for search/sort etc.
3. Learnt C programming and Operating systems(primarily Linux)
4. Learnt higher level programming languages and paradigms(OOP, compilation, etc).
What set of courses/topics would lead to a similar level of understanding in the quantum domain? I have learnt about the quantum gates, but I do not have to context to understand how they fit in the larger picture.
I try to keep the details to the lowest denominator, which usually means mentioning what the problem is and what the proposed solution is in few lines. But eventually someone will ask for more details, and then the conversation veers off to technical discussion that I am sure the PMs and Analysts don't understand.
If you take any specific domain of CS, there are only going to be few hundred good professors on that topic at most in entire world. Them spending their time on teaching undergrads industry skills is wasteful IMO.
Profs should focus on creating next generation of researchers. Bootcamps/Corps/Youtubers should focus on next generation of developers.
Even then though, there was very little about even other kingdoms who ruled present day Maharashtra, so there is clear need of diversity in history education.
Turns out they are prohibited for new gTLDs. https://www.icann.org/en/announcements/details/new-gtld-dotl...
For example, labeling a million text samples with 90% accuracy by using few shot learning is a good use case. Writing a poem is good use case. Trying to learn a new language is not. Generating a small function that you can verify might be ok. Writing entire codebase is not.
So far, I haven't found any use case for personal use of LLMs. For work however, LLMs are going to be very useful with text(and potentially image) based machine learning tasks. Any tasks where having knowledge beyond the labeled training dataset is useful is going to be a good task for LLMs. One example is detecting fraud SMS.
If anything, the documentary should make him more popular in India. The modi supporters support him because of his role in the riots, not despite it. The documentary might help him become popular amongst the youth who might not be aware of his past.
I am surprised that the govt even tried to ban it in India. This documentary is not even aimed at the Indian population, it's meant for the western population. Banning it in India only creates streisand effect for the rest of the world through posts like this one.
So while such ads/posts might not make you want to kill the "others" immediately, there is significant population which will get radicalized over a period. Then one trigger event is all it takes for a mob to turn into murderers. You can read about how Radio Rwanda fueled the genocide.
IMO the difference between who gets radicalized and who doesn't is based on how much exposure one has to different cultures. But then my sister who has visited Auschwitz supports genocide, so there must be more to it.
This puts me in top 2% in India and top 5% in the world by income. While I am aware that I can get 4-5x this offer in US, I can't demand that offer here because 1. It's not trivial to immigrate to US, unless I am willing to spend 2 years on (another) Masters degree or spend many more on a PhD. 2. It's a supply demand issue, where at some point, they will be willing to hire someone else than pay me 4x more.
For now, I am hoping that after a few years, I'd be able to immigrate without having to first study in west, or having to take the huge financial risk of immigrating first and then looking for a job. If (political) shit hits the fan though, I might get desperate enough to try one of that option.
In the long term, India has been working on indigenous development of military technology. Based on [1][2][3], one can see that while lot of stuff has been developed locally, especially w.r.t missiles and ships, there is still heavy dependency on Russia for Russian and Soviet made weapons. Especially, India lags behind in aircraft(engines to be specific), where progress was sabotaged despite good initial progress(see HAL Marut).
[1] https://en.wikipedia.org/wiki/List_of_equipment_of_the_India... [2] https://en.wikipedia.org/wiki/Weapon_systems_of_the_Indian_N... [3] https://en.wikipedia.org/wiki/List_of_active_Indian_military...
[0] https://dst.gov.in/sites/default/files/STIP_Doc_1.4_Dec2020....
I'm sure that outside of workplace, every employee uses sci-hub.
Why India specifically? Probably because the same court has previously decided that photocopying books for personal use is fair-use, as long as no profit is being made.
Being legal in India would be a huge benefit. sci-hub could be hosted on a .in domain with servers hosted in India. No more cat and mouse game.
I come in the latter category, and I don't think anyone needs to sympathize with me. The reason for me never having being in a relationship is exclusively due to issues with me, some that I have/had control over, like weight, grooming, and some that I have little/no control over, like looks, mental issues, height.
It would however be nice if people didn't ridicule/look down upon lonely men, and if society wouldn't assign value to a man solely based on what he can provide to his family.