@philrod1
I'm a university lecturer with a PhD in AI, and I cannot compete with the quality of this work. Videos like this put the entire higher education system to shame. Fantastic! ❤️
@brunojl2
The volume of work, attention to detail and clarity we get from Grant is staggering. Bravo sir.
@actualBIAS
Are you kidding me? ONE WEEK FOR 2 MASTERPIECES?! Thank you so much!
@BMcLean
This video has probably incleased the number of people in the world able to comprehend these topics by 1-2 orders of magnitude!
@hailking5588
As a graduating PhD student working in Natural Language Processing, I still found that video to be extremely beneficial. Awesome!
@JonyBetancourt
As director of video content for a major educational publisher, this is some of the best educational content I’ve ever seen. Your content gives me ideas of how to shape the future of undergraduate level STEM videos. A true legend and inspiration in this space- thank you for the meticulously outstanding work that you do.
@Steamrick
I've got to say - "Attention Is All You Need" is an incredible title for a research paper.
@QuantAI-kp8xt
How I wish this video was available when the "Attention is What You Need" paper just came out. It was really hard to visualize by simply reading the paper. I read it multiple times but could not figure out what it was trying to do. Then subsequently, Jay Alammar posted a blog post called The illustrated transformer. That was a huge help for me back then. But this video raises the illustration to an entirely different level. Great job! I'm sure many undergraduates or hobbyist studying machine learning would benefit greatly.
@sriramsrinivasan2769
3b1b is the only content producer whose videos I start by first making coffee, then upvoting, then hitting the play button.
@Henry-fv3bc
Attention existed before the 2017 paper "Attention Is All You Need". The main contribution was that attention was... all you needed for sequence processing (you didn't need recurrence). Self-attention specifically was novel though.
@colinolliver8985
Never before have I felt the urge to support a creator for a specific video, but you sir have knocked it out the park and this is by far the best educational video I have seen. Not just on YouTube but in my last 20 years of working with data 🎉
@michaelthompson9862
You not only put out some of the best content on youtube but also give constant shutouts to other content creators that you admire. You are a GOAT 3Blue1Brown.
@annachester5790
I'm a Computer Science student currently working with a Transformer for my master thesis and this video is absolute gold to me. I think this is the best explanation video I've ever seen. Holy shit, it is so clear and insightful. I'm so looking forward to the third video of the series!!!! The first one was absolutely amazing too. Thank you sooo much for this genius piece of work!!!!
@MatheusC1729
I cannot stress enough what a tour de force this is. It's probably one of the best math classes ever done anywhere in the world in all time. You're the best in the game and an inspiration for many. So so much thank you, Grant, you're doing God's work here.
@prateeksarna9225
I really appreciate how you work so hard, in making these animations to visualize math.
@DataRae-AIEngineer
Geez Grant, I spent thousands of dollars on a very good deep learning executive certification from Carnegie Mellon, and your series here is better than their math slides. This series is really turning out great.
@jafetsierra1875
This is pure gold!. Never seen such a good explanation of the attention mechanism before. Thank you for this.
@Just4Growers
There are people … all over the world … like me … who really, really, really appreciate you. I cannot thank you enough for taking the time to share your knowledge and help others to understand this technology much more deeply. Seriously, kudos and sincerest thanks. ❤
@rnggamesamples
It gave me everything I needed with enough clarity that I can start my own models training and understand attention in details, amazing job sir!
@3blue1brown