Hi Nitish, My Question is : LSTM was introduced to avoid long term memory loss but in Stage 1 (Encoder - Decoder) you said that if you we use LSTM then also the problem of Memory loss Exist. can you please elaborate
More power to you Nitish Sir, please please don't stop this playlist, you're the best teacher Ever.....I am a working Data Scientist and constantly watching your videos on weekly basis... You made everything simple, lots of love♥️😍
SIR, I was waiting for something big. And you bought it. Thank you sir. I was wanting to learn LLMs and your video now this will give me a great start. Thank you again brother, please just tell me when ever you visit hyderabad, we will have the best biryani one can get in the world if you are a vegetarian then something special that is only authentic to Hyderabad.
This video gave me the best introduction to llm and how all those fancy sounding terms like transformers and attention are connected. Looking forward to part 2!
Elon musk :said teaching should be like a game/webseries.. so productivity becomes addictive . this is one of the playlist that perfectly set under that category!!! hats off: Nitish sir!
Nitish Sir, sequel laiye par ye deep learning wala playlist thoda jaldi complete kijiye...Attention, Transformers, BERT, GPT pe aapke videos most awaited hain..Dusri baat ye ke, Arguably, you are one among greatest AI educators on internet right now!!!
hello sir, first of all thank you so much🙏 to you whatever you are teaching, the way you are teaching is speechless I am continuously watching your videos since 3 months...Sir this is my kind request to you please also make videos on some topics like please sir it help us a lot for our research work....please Reply 🙏
SIR , YOU ARE EXPLAIN THIS KIND OF TOPIC IN THE SUCH EASY WAY WHERE THERE IS NO QUESTION IN MY MIND . BEFORE THIS VIDEO I WATCHED MANY LLM VIDEO BUT THIS VIDEO GIVES ME PERFECT KNOWLEDGE IN THE EASY WAY NOT ON THIS TOPIC IN ALL THE TOPICS YOU GIVE YOUR BEST AND THEY WE SEE IN YOUR VIDEO . I AM WAITING FOR THE NEXT VIDEO . THANKS❤ FOR GIVING PROVIDING HIGH QUALITY CONTENT
A big thanks to you sir!! I successfully completed the course and was also able to perform well in my exam, I couldn't have done it without this playlist !!
This video gave me the best introduction to llm and how all those fancy sounding terms like transformers and attention are connected. Looking forward to part 2!☺☺
Superb se bhi superb video thi, bas sir aap ise thoda or badakr isme encoder based or decoder based architecture ka idea dete to I hope ye single video NLP ka interview clear karaa deti ❤😊❤
The papers referred in this video: 18:22 : Sutskever, I., Vinyals, O., & Le, Q. V. (2014). Sequence to sequence learning with neural networks. Advances in neural information processing systems, 27. 30:23 : Bahdanau, D., Cho, K., & Bengio, Y. (2014). Neural machine translation by jointly learning to align and translate. arXiv preprint arXiv:1409.0473. 43:10 : Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A. N., ... & Polosukhin, I. (2017). Attention is all you need. Advances in neural information processing systems, 30. 49:26 : Howard, J., & Ruder, S. (2018). Universal language model fine-tuning for text classification. arXiv preprint arXiv:1801.06146.
Thank you for this Nitish sir! Yes please do the sequel of this video as well! Very informative and we can't wait for your explanation on transformers and eventually fine tuning LLM's.
Very rich informative and quality content. Pls bring next sequel. Very few SME can share their knowledge in this simple way. It’s great service to tech world 🙏
00:04 The video covers the complete history of Large Language Models (LLMs) from LSTMs to ChatGPT 02:43 The video covers the history and topics of Large Language Models (LLMs) 08:10 One-to-many and many-to-many are types of RNNs 11:06 Language translation and sequence to sequence models 17:00 Large language models (LLMs) revolutionized NLP with the use of transformers. 19:40 Encoder-Decoder architecture for language models. 24:27 Attention mechanism was developed to solve the problem of losing translation meaning. 26:44 The architecture of language models involves an encoder and decoder. 31:41 Attention Based Encoder-Decoder is a module that differs from traditional Encoder-Decoder architecture by incorporating internal state information at every step. 34:18 Attention mechanism helps identify relevant hidden states for printing a word. 39:26 Attention mechanism in large language models has a computational complexity problem 42:18 The introduction of the transformer architecture brought a major change by removing the use of LSTM. 47:36 Transfer learning is a key concept in NLP 50:24 Transfer learning can be applied to NLP tasks. 55:11 Transfer learning in NLP faced two major challenges. 57:45 Language Modeling is a task where a machine learning model is trained to predict the next word. 1:03:10 Pre-training for language modeling using LSTMs and transfer learning 1:05:50 In 2018, two powerful technologies emerged: transformers models and transfer learning. 1:11:38 Training large language models (LLMs) requires diverse data, powerful hardware, and significant investment. 1:14:08 Large Language Models (LLMs) require significant energy to train. 1:19:28 Reinforcement learning with human feedback was a key step in the development of large language models. 1:21:40 GPT Can Actually Maintain Context
Great work as always sir. Please don't stop this playlist. Really looking forward to learn unsupervised learning GANs and autoencoders. Whatever I've learned in the field of data science it is from your videos. Please continue your work. Also really waiting for your NLP playlist which you announced you'll release it.
Certainly! Here's a corrected version of your statement: Sir, I think you should consider being a part of an AI or other technology team. This way, you can showcase your talents more effectively, and I believe you have the capability to contribute significantly to such a team.
Your vedios are the best. Love from Karnataka.. 💛❤ Please do vedios on llamaindex, there are hell lot of tutorials for language, but not much of llamaindex. So, Please do vedios on llamaindex framework Thabk youuu sir..
have been waiting for this content for sooo long! Well articulated and easy to understand! Thank you Nitish for all the efforts that you put in your work. I recommend your videos to who is interested in ML/ DL
Sir main dekhne se pahle like kar diya. Isliye ap video ke last mein like karne nahi boliyega. Moreover I have enrolled for the 10 courses also. But as you know many people can't connect there at once. So , if I disconnected once by any means it not make me able to connect , but in whole of the story I have gain something from your end that I why in returns I will drop genuine feedback of that course as required , but once I complete this playlist. Thanks.
Thank you so much sir for enlightening us about LLMs. the whole video was like a story with lots of information and learning. Want to see the next video on chatgpt progress over last one year.
waiting for the part 2 of this video and also want videos on fine tunning because that is requirement for the companies now a days. Thankyou for the free gold content .
Waiting for that video part 2, If it is possible for you. Please also, request to complete this playlist as soon as possible Helping me a lot More and more power to you !! 👑👑🚀🚀
Thanks for this amazing videos. I am very excited for your video on indepth working of chat-gpt and consecutive advancement in last one year. Please make a video on it.
Such a great and depth of explanation you explained it like a story so interesting never once I felt bored in this 1.5 hr session it was like enlightenment
It may be an late comment but it would be grateful if you upload an sequal for this video as you said in last in vdo. And thanks for your wonderful content
till now this is the last video of the playlist, i want to ask that sir does you will upload videos related to transformer and vision transformer, if then expected time ???
How is encoder or decoder loosing it's memory when ur using lstm the whole purpose of lstm was to solve that so even after compressing how is loosing the info
Sir If possible please keep updating us about intern roles and placement roles(IN community tab or make separate videos As It can aware us of opportunities to seek for and also content for the channel much apppreciated sir hope you take it in consideration) If there's any... I just got to know about amazon summer school but the registration dates are over will have to wait for next year
![[1hr Talk] Intro to Large Language Models](http://i.ytimg.com/vi/zjkBMFhNj_g/mqdefault.jpg)
Great start of LLM. Waiting for number of videos regarding transformers used in LLM. Please focus on Huggingface LLM
need the same
Hi Nitish,
My Question is :
LSTM was introduced to avoid long term memory loss but in Stage 1 (Encoder - Decoder) you said that if you we use LSTM then also the problem of Memory loss Exist. can you please elaborate
More power to you Nitish Sir, please please don't stop this playlist, you're the best teacher Ever.....I am a working Data Scientist and constantly watching your videos on weekly basis... You made everything simple, lots of love♥️😍
Hello Shahrukh, also I'm working in Data scientist field actually I have a problem can you help me.
I can@@amit_tiger63
brother i am currently learning more about this field can you guide me i am currently doing his 100 days of deep learning have watched ann
@@amit_tiger63 Oops I accidentally missed your comment buddy, Apologies :(
Is it sorted or do you still want to discuss ?
@@deepakjain4481 Hi buddy, what guidance do you need ?
SIR, I was waiting for something big. And you bought it.
Thank you sir. I was wanting to learn LLMs and your video now this will give me a great start.
Thank you again brother, please just tell me when ever you visit hyderabad, we will have the best biryani one can get in the world if you are a vegetarian then something special that is only authentic to Hyderabad.
This video gave me the best introduction to llm and how all those fancy sounding terms like transformers and attention are connected. Looking forward to part 2!
Elon musk :said teaching should be like a game/webseries.. so productivity becomes addictive . this is one of the playlist that perfectly set under that category!!! hats off: Nitish sir!
Hii Sir please Make videos on Genrative AI Please Please sir.
Like GAN, Style-GAN, etc/
This is the future of Technology.
please upload video on advancement of llms
Nitish Sir, sequel laiye par ye deep learning wala playlist thoda jaldi complete kijiye...Attention, Transformers, BERT, GPT pe aapke videos most awaited hain..Dusri baat ye ke, Arguably, you are one among greatest AI educators on internet right now!!!
Exactly, Pleasee complete the deep learning playlist first!!!
hello sir, first of all thank you so much🙏 to you whatever you are teaching, the way you are teaching is speechless I am continuously watching your videos since 3 months...Sir this is my kind request to you please also make videos on some topics like please sir it help us a lot for our research work....please Reply 🙏
Need video of LLM & hugging face. So we can apply llm in different fields & publish high quality journals ❤
You are an amazing teacher. Such a complicated subject, you explained lucidly. Looking forward to your Transformers arch's detail video
What a video!! Full of Knowledge & learning with excitement.
Keep doing Nitish!!
SIR , YOU ARE EXPLAIN THIS KIND OF TOPIC IN THE SUCH EASY WAY WHERE THERE IS NO QUESTION IN MY MIND . BEFORE THIS VIDEO I WATCHED MANY LLM VIDEO BUT THIS VIDEO GIVES ME PERFECT KNOWLEDGE IN THE EASY WAY NOT ON THIS TOPIC IN ALL THE TOPICS YOU GIVE YOUR BEST AND THEY WE SEE IN YOUR VIDEO . I AM WAITING FOR THE NEXT VIDEO . THANKS❤ FOR GIVING PROVIDING HIGH QUALITY CONTENT
You Deserve More. We always love you Sir❤️
A big thanks to you sir!! I successfully completed the course and was also able to perform well in my exam, I couldn't have done it without this playlist !!
Great sir. You’re video and your content are amazing… please sir continue this playlist nd add advancement of chatgpt
This video gave me the best introduction to llm and how all those fancy sounding terms like transformers and attention are connected. Looking forward to part 2!☺☺
tooo Good, yes please make the advancement video
one of the amazing video about history of LLMS and how it is evolved from simple RNN architecture.Great work sir🤩
brilliant sir you connect all the dots
Thanks for that ❤
Thank you sir you are my hope please upload More
Need part 2..... thank you so much for the the amazing context
Great introduction of LLM, enjoyed every bit of it and learnt a lot. please continue posting more videos on LLMs
Need part 2 ....Thank you so much for these helpful videos.
pleae teach us LLM along with end to end projects. you are a great and best teacher in UA-cam. Thanks in advance and God bless
Superb se bhi superb video thi, bas sir aap ise thoda or badakr isme encoder based or decoder based architecture ka idea dete to I hope ye single video NLP ka interview clear karaa deti ❤😊❤
Sir, please share your note pdf .
You Always teaches great Sir.
Bahot bahot shukriya... i am already working on LLMs COT RLHF....
Thank you very much 😍.... Awesome👍... Please continue deep to learning playlist... Complete it...
You make quality videos with high quality content.
Please continue this series .
Sir, can you continue deep learning playlist please.
The papers referred in this video:
18:22 : Sutskever, I., Vinyals, O., & Le, Q. V. (2014). Sequence to sequence learning with neural networks. Advances in neural information processing systems, 27.
30:23 : Bahdanau, D., Cho, K., & Bengio, Y. (2014). Neural machine translation by jointly learning to align and translate. arXiv preprint arXiv:1409.0473.
43:10 : Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A. N., ... & Polosukhin, I. (2017). Attention is all you need. Advances in neural information processing systems, 30.
49:26 : Howard, J., & Ruder, S. (2018). Universal language model fine-tuning for text classification. arXiv preprint arXiv:1801.06146.
I can easily say, this video is the “best-est” 😊 introduction to LLMs…looking forward for a detailed video on Vector Databases in relation to LLMs.
Sir pls complete this playlist asap. We are super excited to know and learn about LLMs and building related projects.
It was absolutely awesome
Please upload videos on Generative AI more regularly
Thank you for this Nitish sir! Yes please do the sequel of this video as well! Very informative and we can't wait for your explanation on transformers and eventually fine tuning LLM's.
Golden explanation Sir .Thank you so much for making this video!!!!
Waiting for the detailed videos of se2seq, attention and transformers🔥
Very rich informative and quality content. Pls bring next sequel. Very few SME can share their knowledge in this simple way. It’s great service to tech world 🙏
its been 15 days since you did not update the playlist. sir we need more videos please. LOVE FROM PAKISTAN.
00:04 The video covers the complete history of Large Language Models (LLMs) from LSTMs to ChatGPT
02:43 The video covers the history and topics of Large Language Models (LLMs)
08:10 One-to-many and many-to-many are types of RNNs
11:06 Language translation and sequence to sequence models
17:00 Large language models (LLMs) revolutionized NLP with the use of transformers.
19:40 Encoder-Decoder architecture for language models.
24:27 Attention mechanism was developed to solve the problem of losing translation meaning.
26:44 The architecture of language models involves an encoder and decoder.
31:41 Attention Based Encoder-Decoder is a module that differs from traditional Encoder-Decoder architecture by incorporating internal state information at every step.
34:18 Attention mechanism helps identify relevant hidden states for printing a word.
39:26 Attention mechanism in large language models has a computational complexity problem
42:18 The introduction of the transformer architecture brought a major change by removing the use of LSTM.
47:36 Transfer learning is a key concept in NLP
50:24 Transfer learning can be applied to NLP tasks.
55:11 Transfer learning in NLP faced two major challenges.
57:45 Language Modeling is a task where a machine learning model is trained to predict the next word.
1:03:10 Pre-training for language modeling using LSTMs and transfer learning
1:05:50 In 2018, two powerful technologies emerged: transformers models and transfer learning.
1:11:38 Training large language models (LLMs) requires diverse data, powerful hardware, and significant investment.
1:14:08 Large Language Models (LLMs) require significant energy to train.
1:19:28 Reinforcement learning with human feedback was a key step in the development of large language models.
1:21:40 GPT Can Actually Maintain Context
Great work as always sir. Please don't stop this playlist. Really looking forward to learn unsupervised learning GANs and autoencoders. Whatever I've learned in the field of data science it is from your videos. Please continue your work. Also really waiting for your NLP playlist which you announced you'll release it.
Yes we want the next series of this video sir....really appreciated your teaching and work.........
Certainly! Here's a corrected version of your statement:
Sir, I think you should consider being a part of an AI or other technology team. This way, you can showcase your talents more effectively, and I believe you have the capability to contribute significantly to such a team.
Your vedios are the best. Love from Karnataka.. 💛❤
Please do vedios on llamaindex, there are hell lot of tutorials for language, but not much of llamaindex.
So, Please do vedios on llamaindex framework
Thabk youuu sir..
have been waiting for this content for sooo long! Well articulated and easy to understand! Thank you Nitish for all the efforts that you put in your work. I recommend your videos to who is interested in ML/ DL
You can Join the DSMP or not
Can you Join the DSMP
@@SamiUllah-ql9my tujhe kya matlab mulle
same
Wonderful video thank you Nitish. Could you make a video on HuggingFace too
Sir main dekhne se pahle like kar diya.
Isliye ap video ke last mein like karne nahi boliyega.
Moreover I have enrolled for the 10 courses also.
But as you know many people can't connect there at once.
So , if I disconnected once by any means it not make me able to connect , but in whole of the story I have gain something from your end that I why in returns I will drop genuine feedback of that course as required , but once I complete this playlist.
Thanks.
thank you sir we need second part.
Thank You SO So much. May god bless you with a really long life , and keep making these kinds of easiest to understand videos on difficult topics.
Thank you so much sir for enlightening us about LLMs. the whole video was like a story with lots of information and learning. Want to see the next video on chatgpt progress over last one year.
waiting for the part 2 of this video and also want videos on fine tunning because that is requirement for the companies now a days. Thankyou for the free gold content .
That is required sir , advancement after chatgpt.
Since to stay in the job market we should know the current situation.
Need part 2
Waiting for that video part 2, If it is possible for you. Please also, request to complete this playlist as soon as possible
Helping me a lot
More and more power to you !! 👑👑🚀🚀
Bro, Awesome ... you are connecting the dots, Thanks for uploading, please create an entire course like DSMP 2.0
this video is like movie maharaja on netflix. first half is for story buildup and climax is the sequence of thriller twists.
Thanks for this amazing videos. I am very excited for your video on indepth working of chat-gpt and consecutive advancement in last one year. Please make a video on it.
Please make videos on Transformers and Bert, the way you made for RNN and LSTM.
Sir please make videos on fine tuning specially for complex calculations,mathematics etc.
Such a great and depth of explanation you explained it like a story so interesting never once I felt bored in this 1.5 hr session it was like enlightenment
I love your data science Mentorship program
Paid kiya aapne
@@ChotyaBhava ni DSMP 1 FRE Session attend
Thanks sir! this video more helpful for me .
sir please launch a Langchian and llama2 model based video.
You Deserve More BROTHER, can you pls share the slides
Thank You Sir.
Pure learning ❤❤❤ thank you sir
great sir bhttt saaari videos llms per ly aayen
It may be an late comment but it would be grateful if you upload an sequal for this video as you said in last in vdo. And thanks for your wonderful content
apke sare video dekh rakha h youtube pe............so much so that I ended up buying your course
Sir please make part 2 too... We would like to know more about llms
waiting for se2seq, attention, Transformer BERT,GPT
Please, make video of further advancement after ChatGpt
Nice video... Recap was really needed...!Thanks
Yes, Please make a new video about the current advancements from GPT 3
it was too gd sir .Cant wait for the upcoming lecture and please make a mathematical video of LLMs too
sir maja aaya sunke.....thanks....
This is great video sir... please continue this playlist this is very helpful...I saw many videos regarding llms....but feel yehi aata hai
Really helpful for me to deep dive, Thank you sir , hopefully next video soon
create a video on LLM after chatgpt and also create videos on recent groundbreaking papers in LLMs
Really helpful...yeah would love to learn about advancement
Best videos..best teacher.. thank you so much🎉..
really amazing. thanks for making such content
can you make video about moduler coding . create project template and ready for production .
till now this is the last video of the playlist, i want to ask that sir does you will upload videos related to transformer and vision transformer, if then expected time ???
Hello sir, can you please make a video on High level design for a data science project.
Sir please make that video on advancement it will be very beneficial for us
THANK YOU SO MUCH FOR SUCH A GREAT EXPLANATION AND YOUR EFFORTS SIR !!
How is encoder or decoder loosing it's memory when ur using lstm the whole purpose of lstm was to solve that so even after compressing how is loosing the info
at 49:00 but we do have imagenet database,it can be used for seq2seq tasks????
great explanation - Journey towards to LLM !
Sir If possible please keep updating us about intern roles and placement roles(IN community tab or make separate videos As It can aware us of opportunities to seek for and also content for the channel much apppreciated sir hope you take it in consideration) If there's any... I just got to know about amazon summer school but the registration dates are over will have to wait for next year
full of hindi, not able to understand theoretical part..
pls make the video from advancement in llm from chatgpt to till now.
please make the sequel video. highly interested!!
Awesome video
Thank you Sir. ! Can u make a video on building our own transformers using keras ? Not pytorch. And how to fine tune our transformer? ❤
hello sir, please make a series of video on text summarization.