| Title | : | Transformers (how LLMs work) explained visually | DL5 |
| Lasting | : | 27.14 |
| Date of publication | : | |
| Views | : | 4,8 jt |
|
|
Edit: The finalized version of the next chapter is out youtube/eMlx5fFNoYcbrbrEarly feedback on video drafts is always very important to me Channel supporters always get a view of new videos before their release to help inform final revisions Join at 3b1bco/support if you’d like to be part of that early viewing group Comment from : @3blue1brown |
|
|
👏👏👏 Comment from : @soogardev |
|
|
bro gg for that video it's pretty fucking good! Comment from : @geraldbilloir8412 |
|
|
오늘도 하락인데 Comment from : @AidenLopezksa |
|
|
Большое спасибо за новую связку и её пошаговый разбор Связка рабочая, рекомендую всем Comment from : @sahilpatel-f3u |
|
|
Очень нравится, что есть последовательное, подробное разъяснение, благодаря ему все получается и спасибо за прибыльную связку Comment from : @wojtekBatkowski-r2g |
|
|
Ставьте лайк, кто после хомяка))) Comment from : @karenju-d8z |
|
|
Очень благодарен за то, что вы подогнали новую связку в нужное время Спасибо! Comment from : @Picchi_da_cat |
|
|
brill Comment from : @MaMusiqueUK |
|
|
So, in other words, it's magic Comment from : @Phoenixspin |
|
|
eeeh I wish you hadn't used harry potter text tbh Comment from : @Memington |
|
|
You should be a national treasure! I finally realized that the universe is actually a big LLM model, each of our lives is a generated model, a set of logits and probabilities Comment from : @jenji8944 |
|
|
14:57: Use of gemsim to get closest words to tower Comment from : @disouzam_bh |
|
|
Thank you Comment from : @JayantaSenapati-g5d |
|
|
Давно подписана на Вас,всегда самые крутые связки,спасибо!🎉 Comment from : @labandadeloprado |
|
|
Large language ddta models dont exist without Big Data mining but that You're drunk or highbrThere is no such thingbrConspirracy theorrybrOk Comment from : @godalmighty5970 |
|
|
I work as an undergraduate ML lab assistant at my university and my professor had asked me to apply transformers to our dataset This video was a great intro to helping me accomplish this! Comment from : @user-eb5wl5le7r |
|
|
Никогда не подводите, связка работает Comment from : @VirtualDj12mesauce |
|
|
Best video i ever seen about this topic Comment from : @LuigiMolinaro |
|
|
Наконец-то нашёл того, кто может объяснить всё простым языком Comment from : @ДенисНовиков-ь2ю |
|
|
А теперь представьте, как все это объяснить бабушке Comment from : @naveenkumarkrishnapriyawedding |
|
|
I never knew YSAC also made sciency videos! Im here for it though! Comment from : @nathanbaker3158 |
|
|
why a goat explanation Comment from : @pppp-ij8tk |
|
|
3:04 You: “let’s kick things off…”brMe: “holy F I thought that WAS the deep dive” Comment from : @aariuswins |
|
|
Все понятно и по теме, долго искал годную связку Comment from : @castillojudith |
|
|
ну кстати БНБ очень активный, но обменник дает профит! Comment from : @SabbuKhan-vf6zp |
|
|
This is gold Comment from : @caryetch |
|
|
Thanks! Comment from : @quantumfinance01 |
|
|
This has got to be the best video ive seen on youtube Comment from : @RanenSim-g3v |
|
|
This is a great video!!! What annimation tool did you use to create the 3D models? Comment from : @homeenergyacademy |
|
|
6:11 Santiago mentioned 🗣🗣🗣 📢📢📢📢📢📢📢🔥🔥🔥🔥🔥🔥🔥🔥🔥🔥🔥 Comment from : @rlira8072 |
|
|
Одни из лучших в крипте Лаба ван лав Comment from : @hmode3m3 |
|
|
I admire your work in AI & ML research I’d love your insights on analyzing research papers effectively How do you break down complex ideas and extract key takeaways efficiently? Any strategies or resources you’d recommend? Appreciate your thoughts! Comment from : @riteshbhadana |
|
|
Большое спасибо за новую связку и её пошаговый разбор Связка рабочая, рекомендую всем Comment from : @saurabhanand2292 |
|
|
This is, hands down, the best explanation of how LLMs work you can find currently on planet Earth!❤ Comment from : @tsve |
|
|
This is asmr Comment from : @SuperStorm828 |
|
|
It truly sounds like Grant is smiling through every narration Comment from : @BlissfulForever888 |
|
|
Brilliant explanation Comment from : @TheFreezwater |
|
|
Why i am not getting this in English? Comment from : @chandrikasaha6301 |
|
|
At 20:19 I'm curious about what the original question was I was so surprised to see restaurants in Santiago, and specifically Ñuñoa!!! Hahahaha that's very specific! 🇨🇱 Comment from : @johan2 |
|
|
excellent tutorrila Comment from : @pourkin |
|
|
Amazed with visuals, easier to understand Thanks! Comment from : @sainikhil354 |
|
|
the animations here are to die for How did you do these? The simple 3d-to-2d mapping animation was great Comment from : @Daxdax006 |
|
|
I'd rather be taught like this the whole of data science, machine learning and artificial intelligence than a course at some top uni Comment from : @tula__ |
|
|
Comment from : @BarbaraWhite-f4f |
|
|
Всё проверено, работает Спасибо Comment from : @RayMMA20-gx2qe |
|
|
Одни из лучших в крипте Лаба ван лав Comment from : @Prayuddh2023 |
|
|
Отличная тема Comment from : @AlejandroMorón-u3l |
|
|
There is a division by zero in the temperature explanation Comment from : @Spearit578 |
|
|
Very informative and engaging knowledge Thank you so much from India!😇 Comment from : @ps0795 |
|
|
It's time we have a new video now that there is an Open-source LLM Comment from : @newbie4789 |
|
|
Can I ask a REALLY basic question? From this explanation, it seems like AI is just a sophisticated version of a decision making Matrix based on an “IF, IF NOT” basic structure And that the only ‘creativity’ that can arise from AI in today’s time is being able to male this question in a greater number of areas of expertise than a regular human being That is to say, it is a sophisticated, “IF; IF NOT” algorithm that has a very large data base and can process many question almost simultaneously to get to a ‘sophisticated’ answer Does that seem about right @3blue 1brown? Comment from : @azorbarros3308 |
|
|
Derek from Veritasium sent me here from his latest video Subscribed to watch all, because you sir have a nice way with words to explain complex subjects Cheers from Portugal Comment from : @JoseEncarnacao |
|
|
Great video Comment from : @SSNReactorOperator |
|
|
Best LLM explanation I've ever seen Props! Comment from : @xBaphometHx |
|
|
The sick joke of allowing the worst of humanity create predictive models that are objective and without bias Absurd and guaranteed more suffering Comment from : @jaym5938 |
|
|
It's very amusing how AI researches title AI operations using anthropomorphic words like "attention", "perceptrons", "meaning" It's almost like they are working with a marketing department Comment from : @mikede2464 |
|
|
23:22 Shouldn't the x values start from 0 too since when we are expressing the aggregate, we are starting from x0 and going till n-1? Like shouldn't it be x0 to x6 for the 7 values? Comment from : @kazifahim3045 |
|
|
Thanks! Comment from : @ChristianSiregar |
|
|
Sir, you and @statquest are a blessing to us Comment from : @nishankarki5907 |
|
|
I really need to admit that this is one of the best videos available to explain how a transformer model works and the visual representations are gold standard and meticulously done❤ Comment from : @PremjitMVidyadharan |
|
|
5:55 How do you convert a model that auto completes stories & essay into a helpful AI assistant? Comment from : @akshaykamathb2788 |
|
|
mind fking blowing Comment from : @snay6869 |
|
|
How did you create the graphics for this video? Incredible work! Comment from : @Magnom365 |
|
|
Кто бы мог подумать, что однажды Хованский будет читать мне лекции о машинном обучении Comment from : @WhyNotRecords |
|
|
18:15 Shouldn't this embedding matrix actually be sparse, not dense? I ask that because most of words are unrelated to each other in a set of 50k words Comment from : @AlexandreLEMERCIER-eb6dd |
|
|
Train Transformers? I thought they were cars Comment from : @lame6810 |
|
|
Gracias por compartir ❤ Comment from : @omajul |
|
|
Отличная связка! Очень интересно и информативно Comment from : @DESFdsc |
|
|
May I ask what the outro music is, please? :) Comment from : @Wyrade |
|
|
Thank you, it's very nice to have AI explained in such a visual way! :D Comment from : @Wyrade |
|
|
This channel's narrator sounds like a calmer non ADHD Fireship channel version of the same voice Comment from : @Tesseus2006 |
|
|
Outstanding teaching style with both content, presentation style and the dynamic video Thanks! Comment from : @anilpillai6786 |
|
|
How can Ben Stiller be a Fashion Model? 4:16 Comment from : @kiransilwal |
|
|
Эта связка просто невероятна – мои результаты торгов пошли вверх благодаря вашим советам Comment from : @miguelmacias6214 |
|
|
I guess Im too dumb or you explain it way too fast for me to get it all Comment from : @gustavogus692 |
|
|
Thanks! Comment from : @jaybhukhanwala |
|
|
Hrant Comment from : @IbrahimBalarabe-k4j |
|
|
Thanks! Comment from : @0MichelAbdul0 |
|
|
Can anyone confirm if I can access a SafePal wallet with this phrase [obvious stay actor sunset unable assault hamster glory law cruise wire drip]? Comment from : @AugustTurner-44ec |
|
|
Brilliant! Comment from : @Victor-lc3pw |
|
|
For what purpose? I generally know what comes next "Elephant toenail fungus" -- Hospital, cure, cases, doctors, color, Yes "cure" is more common, so we assume for everyone, but no one is everyone Cute! Comment from : @ClifCollins-k8d |
|
|
@1:25, there is a transliteration from English to Chinese, but the grammar is technically incorrect As someone that speaks Chinese, and those also at Mandarin Blueprint YT channel also do, it's important to note machine translation has a ways to go Comment from : @linguist8623 |
|
|
Та кажется лучше связки я и не видел)) ну 8 проц это ж ваще Comment from : @InchArtist |
|
|
ok you explained whats the most probable next words but how do LLMs understand what you are saying? Comment from : @alrey72 |
|
|
я в восторге, сижу на дикретном и тут решила попробовать как на видео, и получила с водуха 1 тысячу рублей ) Comment from : @blackcat9641 |
|
|
nice Comment from : @Marquise-xk7ik |
|
|
Suggest a best reddit community out there, that contribute to the extensive and brilliant analysis of these topics in more of an epistemological manner Comment from : @nani-l2m |
![]() |
How did Optimus Prime become JACKED in Transformers 3 ?️#transformers #optimusprime #abs РѕС‚ : Theorymus Download Full Episodes | The Most Watched videos of all time |
![]() |
Why Did Transformers Look So Realistic? #transformers #cgi #vfx #behindthescenes РѕС‚ : CGY Download Full Episodes | The Most Watched videos of all time |
![]() |
Do you know which Transformers are downright obsessed with money? #transformers #scifi РѕС‚ : transformers8270 Download Full Episodes | The Most Watched videos of all time |
![]() |
Transformers 1 Cast Then vs. Now! (2007 - 2024) #transformers #movie #shorts #ytshots РѕС‚ : Evolution Hub Download Full Episodes | The Most Watched videos of all time |
![]() |
The Mirage Scene You Missed in Transformers 3 ?#shorts ?#transformers РѕС‚ : RandomBlackGamer Download Full Episodes | The Most Watched videos of all time |
![]() |
Pre-Money u0026 Post-Money Startup Valuation - Explained Visually РѕС‚ : Fundable Startups Download Full Episodes | The Most Watched videos of all time |
![]() |
How Post-Money SAFEs increase startup founder dilution - explained visually РѕС‚ : Fundable Startups Download Full Episodes | The Most Watched videos of all time |
![]() |
Use LLMs To Extract Data From Text (Expert Mode) РѕС‚ : Greg Kamradt Download Full Episodes | The Most Watched videos of all time |
![]() |
Evaluation of LLMs: A Comprehensive Survey with Shreya Singh, ML Engineer at @Google | #DecodingAI РѕС‚ : SeedToScale Download Full Episodes | The Most Watched videos of all time |
![]() |
How Much Money Did Transformers Age Of Extinction Make? - The Action Reel РѕС‚ : TheActionReel Download Full Episodes | The Most Watched videos of all time |