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!
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♥️😍
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 !!
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.
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 , 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
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!!!
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.
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!☺☺
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.
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 🙏
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.
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.
Brother this is literally the best video on this topic, wow! Hands off to you sir! Been learning ML and DL and stumbled upon your channel just recently and learned alot!
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
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 🙏
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!
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 ❤😊❤
Amazing content in a simple word. Please create sequence of chatGPT advancement in a year span. Also request to don't stop your playlist , I have no words to appreciate your efforts. Thank you so much.
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 .
Your high content quality is your USP Nitish.... please maintain it always... time not an issue... I can watch your 4-5 hours long videos too... Your videos has a magical impact on me.... Thanks for making this series....
this video is great to learn what is LLM and how it started....I personally request you to make other video on that topic and also make videos on frameworks for the LLMs , huggingface and lang chain and all...... Thank you for all your videos...
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
Great Great no words how I explain my word for this types of videos and not only this all of your videos not express any word it's Great Great Great Great
You are great, superb, marvelous. Take my love. I pray, you live long and teach us like this. I have been looking for this level of video for quite a long time. It was so understandable and easily consumable. You are such a gem in presentation and documentation!! Please, make a playlist for quantum computing. See you soon. ♥
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.
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!
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 ?
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 start of LLM. Waiting for number of videos regarding transformers used in LLM. Please focus on Huggingface LLM
need the same
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.
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
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
Need part 2..... thank you so much for the the amazing context
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!!!
You make quality videos with high quality content.
Please continue this series .
Great introduction of LLM, enjoyed every bit of it and learnt a lot. please continue posting more videos on LLMs
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.
apke sare video dekh rakha h youtube pe............so much so that I ended up buying your course
You Deserve More. We always love you Sir❤️
pleae teach us LLM along with end to end projects. you are a great and best teacher in RUclips. Thanks in advance and God bless
brilliant sir you connect all the dots
Thanks for that ❤
one of the amazing video about history of LLMS and how it is evolved from simple RNN architecture.Great work sir🤩
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.
Yes we want the next series of this video sir....really appreciated your teaching and work.........
Bahot bahot shukriya... i am already working on LLMs COT RLHF....
What a video!! Full of Knowledge & learning with excitement.
Keep doing Nitish!!
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!☺☺
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.
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 🙏
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.
You Always teaches great Sir.
You are an amazing teacher. Such a complicated subject, you explained lucidly. Looking forward to your Transformers arch's detail video
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.
Really helpful for me to deep dive, Thank you sir , hopefully next video soon
Need part 2 ....Thank you so much for these helpful videos.
this is the video i have been waiting for year, thanks sir for simplifying this
Brother this is literally the best video on this topic, wow! Hands off to you sir! Been learning ML and DL and stumbled upon your channel just recently and learned alot!
Thank you sir you are my hope please upload More
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
Pure learning ❤❤❤ thank you sir
Bro, Awesome ... you are connecting the dots, Thanks for uploading, please create an entire course like DSMP 2.0
Thank you very much 😍.... Awesome👍... Please continue deep to learning playlist... Complete it...
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 🙏
This is great video sir... please continue this playlist this is very helpful...I saw many videos regarding llms....but feel yehi aata hai
Great sir. You’re video and your content are amazing… please sir continue this playlist nd add advancement of chatgpt
One of the best videos on LLM intro I have ever seen!
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!
A big thanks to you, your explanation is easiest over all internet. 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 ❤😊❤
great sir bhttt saaari videos llms per ly aayen
sir maja aaya sunke.....thanks....
Amazing content in a simple word. Please create sequence of chatGPT advancement in a year span. Also request to don't stop your playlist , I have no words to appreciate your efforts. Thank you so much.
If teaching is an art, then my professor you are an artist🙌
Best intro to LLMs....waiting for part 2!!
The best video to understand LLM.🙌
Waiting for this playlist for a long time💛
Make video on advancements since chatgpt pls. As you mentioned at the end!
Thanks as always!
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 .
Your high content quality is your USP Nitish.... please maintain it always... time not an issue... I can watch your 4-5 hours long videos too... Your videos has a magical impact on me.... Thanks for making this series....
Sir pls complete this playlist asap. We are super excited to know and learn about LLMs and building related projects.
Yes, we would like a video on the advancements done in the LLM space after ChatGPT.
this video is great to learn what is LLM and how it started....I personally request you to make other video on that topic and also make videos on frameworks for the LLMs , huggingface and lang chain and all......
Thank you for all your videos...
Great way to explain the whole evolution of Language models. Thank you so much
looking forward to part2
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
Awesome video
Very good KT for LLM ,we are waiting for more LLM
Yes please do make a video for the current advancements after release of chatgpt, very much needed.
It was absolutely awesome
u r the only teacher who knows what we want
There is not anyone who is so good in teaching machine learning and data science
Thank you, Sir....u make learning so fun and we neeeed part 2!!!
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.
yeah great video sir, i'm glad that i have watched your DL and ML playlists and researched about them.
Super helpful, I m also going to complete your full deep learning playlist, thanks for providing it for free.
one of the best video on LLMs
Excellent video on the journey of LLMs .......waiting for the follow up video 👏👍
Golden explanation Sir .Thank you so much for making this video!!!!
Nice video... Recap was really needed...!Thanks
thank you sir we need second part.
Really happy to see your new ...
Great Great no words how I explain my word for this types of videos and not only this all of your videos not express any word it's Great Great Great Great
You are great, superb, marvelous. Take my love. I pray, you live long and teach us like this. I have been looking for this level of video for quite a long time. It was so understandable and easily consumable. You are such a gem in presentation and documentation!! Please, make a playlist for quantum computing. See you soon. ♥
Best videos..best teacher.. thank you so much🎉..
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.
Sir greatly explained, The main take way i got is why we call LARGE LANGUAGE MODELS. Thank you so much sir..❤❤❤❤
amazing bro amazing this is the explanation i am finding in the youtube
Amazing content about the history of LLMs .. great work 😍😍🥰🥰
You are always great. Please make the other videos that talk more about ChatGPT.
First thing to do with every uploaded video here is just like it. You won't regret anyhow. LOL sir ❤🔥
please make the sequel video. highly interested!!
great explanation - Journey towards to LLM !
sahi chal rahi hai playlist. quality of audio also better, less echo.
Hello Sir,
Lots of love!!😄😄
Waiting for the second part of this video!!
Need video of LLM & hugging face. So we can apply llm in different fields & publish high quality journals ❤
THANK YOU SO MUCH FOR SUCH A GREAT EXPLANATION AND YOUR EFFORTS SIR !!
Correction at 01:18:26 - Like GPT was developed by OpenAI, Google developed Palm 2 model. So Palm 2 -> Bard.
Need part 2..... thanks for the amazing information 🎉🎉
We would love to see the upcoming video!
i am in love with this guy
Never will end this playlist, after 25 days
Thanks you sir for valueable content
Thanks for good information of LLM gpt model, i waiting for nex videos in LLM
Such an awesome video. Thanks a lot!
at 49:00 but we do have imagenet database,it can be used for seq2seq tasks????