Deep learning models are already revolutionizing the way we think about AI. One such type is the โtransformer model,โ which takes an attention mechanism that differentiates between each part of input data with increased weighting given to those parts deemed most important โ itโs used primarily in NLP and Computer Vision CV (1).
The larger model sizes that come with better performance significantly impact the memory wall of current accelerator hardware, such as GPU. Training large models such as the Vision Transformer, BERT, and GPT on a single GPU or machine can be arduous. AI researchers are constantly trying to find ways for their models to be used in a distributed environment. But distributed environments often require domain expertise in computer architecture and system design, which is challenging to acquire without experience or knowledge from working hands-on with these topics.
Researchers from HPC-AI Technology Inc. and the National University of Singapore (NUS) have introduced โColossal-AI,โ a PyTorch-based open-source system that makes distributed training in AI much more accessible for all.
Colossal-AI allows users to set up combinations of data, pipeline, sequence, and multiple tensor parallelism. A user can use tensor parallelism to make a distributed model. This is just like how they make a single-GPU model. In this work, the researchers separated the model building from how it is distributed. They support many types of models, including 2D, 2.5D, and 3D tensor parallelism, sequence parallelism, and activation checkpointing.
Paper | Github| Quick 3 Min Read
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By: Ruth Milka - November 12, 2019
Read the article here: https://www.nationofchange.org/2019/11/12/national-missing-and-unidentified-persons-system-is-providing-free-training-on-reservations/
In an effort to combat the epidemic of missing and murdered indigenous women and girls, specialists are leading free training sessions on how to use the National Missing and Unidentified Persons System (NamUs) at reservations throughout the country.
This past week Assistant U.S. Attorney and member of Montanaโs Missing Indigenous Persons Task Force Jared Cobell led a training session at the Blackfeet Community College. โEverybody can access this system. Itโs not just for law enforcement,โ Cobell said. โAll of us can input things into NamUs. If youโre missing a relative or friend, you can create a profile for them, where you can add details and photos of them. And then others can search for that person, too.โ
NamUs is a free national resource center for missing, unidentified, and unclaimed person cases in the United States. It includes free and secure technology, forensic services (such as fingerprint and DNA analyses), and investigative support from staff. Although people are able to enter their own public information about a missing person case on the public side of NamUs, the information must be vetted and verified before it is made accessible to the public.
In the United States, indigenous men and especially women go missing at disproportionate rates. In 2016 alone there were 5,712 reports of missing American Indian and Alaska Native women and girls. In places such as Montana where Native Americans only make up 6.6% of Montanaโs population, indigenous people make up 25% of the reported missing cases.
Whatโs more, cases of missing indigenous people are often unreported. If they are reported, jurisdictional obstacles and poor resources often get in the way of any real progress being made, leaving families to search for their loved ones on their own. People such as Cobell believe that by providing training for people to use NamUs hopefully more people can utilize the system to find answers.
NamUs will continue throughout the month to host free training sessions at Rocky Boyโs, Fore Belknap, and Fort Peck reservations.
I've been considering sharing this story for a while now. It's not something I got to discuss much after it happened, but I think this community will appreciate it.
I worked for Chick-fil-A for about five years. It's been a hot minute, so I don't feel bad name dropping them here. I wasn't especially religious, but they were willing to hire me when I was freshly moved into the state, and they offered good pay. And I was ambitious at the time. I moved up quickly in the first couple of years, and eventually became the Training Director. That meant that I knew how to do every position in the store (front of house AND back of house), as well as how to effectively train for every position. I was in charge of on-boarding the new hires, setting up their training schedules, and making sure they were ready to be scheduled in position after two weeks. And I'll go ahead and toot my own horn - I was damn good at what I did. A few months after the promotion, our retention rate leapt, as did our sales, drive thru numbers, and ratings online. I won't attribute all of it to my training; we hired on some fantastic people in that time. But I will say that my training team helped those people learn quickly and feel confident in what they were doing.
After being in the position for a while, I developed a new training system to help my team and the shift leads train more effectively. We had training iPads, and I used an app to develop a system that allowed for more streamlined tracking of each new hire's training, online and in person. My team picked it up pretty quickly, and our numbers continued to rise. More team members were asking to become trainers and work under me, and the turnover was the best it had been since I'd started working there.
About a year into having this position, there was a small retreat for all the directors. On this retreat, our store operator announced that the director positions were going to be salaried, as well as receive some fantastic benefits. I was ECSTATIC. As a college student, this was huge. My pay would effectively jump by about $10hr. I'd be able to replace my crappy car finally. I could pay for school out of pocket instead of loans. Everything was going to get so much easier. Plus - no more overtime in order to make ends meet! I could focus on school more.
A week after the retreat, my direct boss (one position below our operator) pulled me aside. In a very short, blunt conversation, she informed me that to cut costs for the store, she
... keep reading on reddit โกWould be a nice QOL change since there's nothing worse than popping your books but realizing you want to do something else.
Given the fact that at the LA 2028 Olympics, the rowing regatta will be over a 1500m course (source, somewhat ironically a row2k article) instead of the standard 2000m, how do you predict national squads will change their preparation for this, if it all? How different is the approach to a 1500m to a 2000m physiologicallly? Do you think squads might, for example, do 1500m erg tests for that Olympiad instead of the normal 2k? I'd assume that the events leading up to the Olympics like the World Cups would still be over 2K, so how do you think squads would approach those? Interested to hear any thoughts.
I recently received my Christmas bonus and I want to invest it to get some certifications and training. I would like to ask for your recommendations for which ones are worth it. It would be best for me if it is something leaning towards embedded Linux. It would also be nice if there are projects within the course, I allocated money to buy boards and sensors to build such projects. Thank you!
Friends. We've noticed your great interest in the new soldier training system that we've added to replace the outdated Academy, and we want to compare it with the old mechanics using a clear example.
The main and most important thing. The idea behind the new system is simplicity. We wanted to get rid of all the unnecessary randomness of getting new soldiers, hundreds of different soldiers with different specialties in reserve, with a long and confusing path to upgrade.
And we definitely succeeded! Now you will immediately see the price that you need to pay to train your soldier. Some of you are intimidated by these high numbers, but let's calculate together whether it's more expensive than the old one.
https://preview.redd.it/50u756e5hht71.png?width=704&format=png&auto=webp&s=36ccd4c6ac6caf41fa517afcc97732a726ef535d
In the new system, you need a lot, but MUCH less soldiers than in the old system. After all, now you won't lose 2 out of 3 soldiers sent to the Academy for training. You are training the soldier that you want to be upgraded. But how much did it actually cost in the old system?
In the old system for training one soldier of any rank from level IV to level V, you would have to use 54 first level soldiers in the Academy. This is a lot and takes a lot of time, even if you don't take into account the large randomness of obtaining soldiers from bronze orders(one out of 12 classes and 3 tiers).
In the new system, you see a clear price for the training of a particular soldier. For example:
Upgrading a soldier Tier I from level IV to V costs 18 bronze orders.
Upgrading a soldier Tier II from level IV to V costs 54 bronze orders.
Upgrading a soldier Tier III from level IV to V costs 72 bronze orders.
And the main thing. Taking into account the fact that, in this update we DOUBLED the speed of receiving Bronze orders, your costs accordingly also drop in half.
---
The last question that worries you sounds like this: "Where can beginners get soldiers if they don't get them from Bronze orders?"
Receive them for Silver orders. Since in the new system you donโt need to donate soldiers for training, there is no need to call in hundreds of soldiers. For an average squad, 3-4 soldiers will be enough to fully staff it in, and according to our calculations, this won't be difficult.
The Sentry Bot at the National Guard Training Yard is making me lose my mind. You can't do anything about it to make it better.
I placed mines in front of it's door so that it would be damaged enough to kill and guess what? It teleports past them, magically.
I cheesed it and KILLED IT using all of my explosives before entering the armory... and GUESS WHO WAS WAITING OUTSIDE FOR ME?
YEAH. WHAT?
I'm literally running away in full power armor popping jets, med-X, and stim packs just to get away. Infuriating. Anyways, end rant. Thankyou.
Hello all,
I came across this place and wondered if anyone has experiences/opinions with it they're willing to share. So far, I've found overwhelmingly positive reviews and testimonials and am just trying to see if it's for real. I'm definitely interested in going, as I'll be a full-timer soon and feel, at the least, it would be boost my aptitude for all the problems that I'll come across. I also like the idea of making an LLC and doing mobile inspections/repairs.
At any rate, hope this is the right place to post. Thanks!
For instance my favorite system is Allen Bradley line of PLCs, I have no problem reading function block or ladder logic but couldnโt set up a system from scratch. Iโve only had to add items like alarms and logic to open/ close valves simple stuff. I can troubleshoot but their is still a lot of knowledge I am missing. I know their are cheaper options but has anyone taken the courses offered by Allen Bradley? I may be able to get my company to pay for a course here and there. My title is controls engineer and I deal with instrumentation, actuators, motor controls, and electrical projects. PLCs are a good portion of my jobs but I donโt do any design from scratch work, but I would like to eventually. We bid projects out but there are some things I believe I could do to save the company some money once I develop some more skills, like my predecessor who retired. Right now I mostly develop project scope and trouble shoot random issues that might come up.
Deep learning models are already revolutionizing the way we think about AI. One such type is the โtransformer model,โ which takes an attention mechanism that differentiates between each part of input data with increased weighting given to those parts deemed most important โ itโs used primarily in NLP and Computer Vision CV (1).
The larger model sizes that come with better performance significantly impact the memory wall of current accelerator hardware, such as GPU. Training large models such as the Vision Transformer, BERT, and GPT on a single GPU or machine can be arduous. AI researchers are constantly trying to find ways for their models to be used in a distributed environment. But distributed environments often require domain expertise in computer architecture and system design, which is challenging to acquire without experience or knowledge from working hands-on with these topics.
Researchers from HPC-AI Technology Inc. and the National University of Singapore (NUS) have introduced โColossal-AI,โ a PyTorch-based open-source system that makes distributed training in AI much more accessible for all.
Colossal-AI allows users to set up combinations of data, pipeline, sequence, and multiple tensor parallelism. A user can use tensor parallelism to make a distributed model. This is just like how they make a single-GPU model. In this work, the researchers separated the model building from how it is distributed. They support many types of models, including 2D, 2.5D, and 3D tensor parallelism, sequence parallelism, and activation checkpointing.
