Introduction to Transformers | Transformers Part 1
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- Опубліковано 4 чер 2024
- Transformers are a powerful class of models in natural language processing and machine learning, revolutionizing various tasks. From attention mechanisms to self-attention, transformers have reshaped the landscape of deep learning.
Introduced by Vaswani et al., transformers use self-attention mechanisms to process input data in parallel, making them highly efficient for tasks like language translation, summarization, and various other sequence-based tasks.
A Comprehensive Survey on Applications of Transformers for Deep Learning Tasks:
arxiv.org/abs/2306.07303
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✨ Hashtags✨
#Transformers #NLP #MachineLearning #deeplearning
⌚Time Stamps⌚
00:00 - Intro
01:01 - What is Transformer? / Overview
05:12 - History of Transformer / Research Paper
07:55 - Impact of Transformers in NLP
10:29 - Democratizing AI
13:08 - Multimodal Capability of Transformers
16:28 - Acceleration of Gen AI
19:07 - Unification of Deep Learning
21:09 - Why transformers were created? / Seq-to-Seq Learning with Neural Networks
25:25 - Neural Machine Translation by Jointly Learning to Align and Translate
33:16 - Attention is all you need
39:10 - The Timeline of Transformers
41:42 - The Advantages of Transformers
46:30 - Real World Application of Transformers
47:30 - DALL*E 2
48:20 - AlphaFold by Google Deepmind
49:08 - OpenAI Codex
49:41 - A Comprehensive Survey on Applications of Transformers for Deep Learning Tasks
50:30 - Disadvantages of Transformers
54:40 - The Future of Transformers
59:20 - Outro
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Literally did the same :}
Hahaha... Loved the Comment !
Finally the most awaited Transformers! Learned a lot from this lecture! Your videos are always so detailed, you never rush for sake of completing. Thanks a lot sir ! ❤
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sir please create a playlist on finetuning LLMs also. it is currently the most demanded skill in Data science and AI
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🎉🎉Most awaited
Thank you so much for giving references with paper, now I am pursuing a PhD in deep reinforcement learning using transformer this video will help me more, thank u for giving great survey paper as a reference.
Thanks for ur wonderful contents. ❤❤
sir, i don't have word to tell you how great your lecture are, I watched lots of videos on transformer but no one gives me such detail insight about attention mechanism , can't wait to watch next videos
Thank you so much for giving references with paper, now I am pursuing a PhD in deep reinforcement learning using transformer this video will help me more, thank u for giving great survey paper as a reference.
Finally we are getting closer and closer❤ thanks sir
Learned a lot from this lecture. Thank you very much sir for patiently explaining everything. Please continue this series. It would be very helpful.
FINALLY TRANSFORMERS!! THANK YOU SO MUCH SIR ❤️🙏
Thankyou so much sir for all the efforts. The lectures are informative, precise and intriguing. Your way of teaching is highly appreciable.
Literally one of the best video on youtube for understanding Transformers
SIR GREAT IF YOU POST A VIDEOS REGULARLY OUR MOTIVATION NEVER NEVER TIED OUT AND YOU ARE A GOD FOR MY AND OTHERS DATA SCIENCE WORLD.
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You are an amazing teacher. Was waiting for this.
Finally, Thank you.. huge respect sir
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Most Awaited... Thank you Nitish Sir ❤
Very detailed information.. thank you Sir
Sir I request you to please don't delay your new videos of deep learning. You are really an amazing Teacher .
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stay blessed.
waiting for part 2😢
This man never disappoints. ❤😊
I was eagerly waiting for this video.
Thankyou
nitish,i was waiting for your this video since long,thanks man
I have used T5 transformer in my master's project for creating a MCQ generator from a paragraph. And at that time I just learned how to use it but now it's time to learn everything about transformers. Waiting for your second video.
brother!! can you share your project with me??
this was the video i was expecting
Nitish sir ... kya baat h ... kya smjhaaye h aap 🙏🙏🙏🙏
Excellent explanation................Thank you Nitish
Thank You Sir. Great Explanation.
Well That , My First Video On The Topic of Transformers , I think This the Best Explanation ever . Sucessfully Completing my Playlist With Sir Nitish Best Explanation Ever , There a lot of free Content on UA-cam But Sir Nitish Always On Top ❤ . Much Love from Paksitan ❤
How to Fine Tune LLM Using PEFT.
Please make a video on this
most awaited video❤❤❤❤
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Could you please also do a detailed video on vision transformers?
Most awaited video 🎉🎉🎉
excellent video. Thank you!
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Sir can you please provide a brief schedule of the upcoming videos ad we are heavily dependent on your playlist..
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needed part 3 and part 4 of this transformers series
Thank you so much.
Waiting for the part-2
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Ml ✅, In Dl right now I'm learning CNN
Most awaited
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Thank you sir weakend productive bna dia ap ny ❤❤
Sir I badly want to become a data scientist and your videos work as a stepping stone
Underrated channel..
Thanks a lot for this video Sir. Please create videos on other architectures as well..
Was wating from so long..😮
3 saal se padh rha hu AI, MSc bhi kar liya, attention par project v kar liya... but samjha nahi tha honestly... Abhi pakad me aarha hai Nitish Bhai... bhale manus ho tum... acha kaam jari rakho, hum tumhare sath he... :=)
you are best teacher and so hard working
Much Awaited! Thank you so very much🎉
Nitish bhai is back with a bomb.
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Nitish sir is all you need!!!
Finally..thanks a lot
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sir please make videos on ML Ops..
Join the course
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Great Video Sir
Also give practical example on LLM , longchain
sir, i didn't get the video of 'Multicolinearity' in ML
Sir what about deep learning series will be continued or not??
thanks nitish waiting from long time
Sir can pls give the complete roadmap of further topics it will be very useful for us to plan our journey in the same direction also do let us know how many more videos and topics are left in the roadmap to come. It will be great help if you could complete the course in next 1 to 2 months before the start of our next Sem.
Sir, please cover BERT and T5 model also after completing this.
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i really need this please.............
Can we use positional information of a sequence in lstm??
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Question from everyone ⚠️
If I wanna become data scientist we need to learn ml but as fresher no-one will provide you job as DS
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Waiting for next video
Finally❤
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Let's go!!!
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Nice
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Finally🎉🎉
Sir can you explain state-of-the art concept please
Could you please name the best 5 books to learn deep learning
bahut khub.........
When we will see you in dsmp 2 next
Thank you Sir
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Much awaited!
Sir mlops series ka next video kab anevala hai sir???
Ohh thank you sirrrrr