The Epic History of Large Language Models (LLMs) | From LSTMs to ChatGPT | CampusX
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- เผยแพร่เมื่อ 1 มิ.ย. 2024
- Dive into the captivating journey of Large Language Models (LLMs) in this exploration! From their humble beginnings to transforming natural language processing, understand the evolution of these giants in the world of AI. Whether you're a tech enthusiast or just curious about the incredible progress in language models, this video takes you on a fascinating ride through their complete history.
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⌚Time Stamps ⌚
00:00 - Introduction
18:18 - Stage 1 - Encoder-Decoder Architecture
26:26 - Stage 2 - Attention Mechanism
39:30 - Stage 3 - Transformers
47:08 - Stage 4 - Transfer Learning
01:07:00 - Stage 5 - LLMs
01:16:10 - The Finale - ChatGPT
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💭Share your thoughts, experiences, or questions in the comments below. I love hearing from you!
✨ Hashtags✨
#DataScience #MachineLearning #LLM #CampusX
![[1hr Talk] Intro to Large Language Models](http://i.ytimg.com/vi/zjkBMFhNj_g/mqdefault.jpg)
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Great start of LLM. Waiting for number of videos regarding transformers used in LLM. Please focus on Huggingface LLM
Hugging Face: Hugging Face ek company aur open-source community hai jo machine learning models aur natural language processing (NLP) tools ko develop karta hai. Unka maqsad hai developers aur researchers ko easy access dena advanced AI models, datasets, aur NLP tools ki taraf.Key Aspects of Hugging Face:
Model Hub:Hugging Face famous hai apne "Model Hub" ke liye, jahan aapko pre-trained machine learning models milte hain, jaise ke GPT, BERT, T5, aur doosre. Ye models various NLP tasks ke liye pre-trained hote hain.
Transformers Library:Hugging Face ka "Transformers" library ek popular open-source library hai, jo pre-trained models, training pipelines, aur various NLP tasks ke liye utility functions provide karta hai. Ye library aapko models ko download, use, aur fine-tune karne mein madad karta hai.
need the same
@@mdimrannazir3285 Abhi all over the Tech world mai sabki yahi need hai Transformer architectures, Pre trained models Fine tunning
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
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.
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.
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!
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!!!
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 video of LLM & hugging face. So we can apply llm in different fields & publish high quality journals ❤
You Deserve More. We always love you Sir❤️
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.
You make quality videos with high quality content.
Please continue this series .
Yes we want the next series of this video sir....really appreciated your teaching and work.........
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.
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 !!
Need part 2..... thank you so much for the the amazing context
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
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
pleae teach us LLM along with end to end projects. you are a great and best teacher in TH-cam. Thanks in advance and God bless
Thank you very much 😍.... Awesome👍... Please continue deep to learning playlist... Complete it...
one of the amazing video about history of LLMS and how it is evolved from simple RNN architecture.Great work sir🤩
Need part 2..... thanks for the amazing information 🎉🎉
Pure learning ❤❤❤ thank you sir
brilliant sir you connect all the dots
Thanks for that ❤
Great introduction of LLM, enjoyed every bit of it and learnt a lot. please continue posting more videos on LLMs
👍👍👍
You Always teaches great Sir.
apke sare video dekh rakha h youtube pe............so much so that I ended up buying your course
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 ❤😊❤
yeah great video sir, i'm glad that i have watched your DL and ML playlists and researched about them.
Bro, Awesome ... you are connecting the dots, Thanks for uploading, please create an entire course like DSMP 2.0
You are an amazing teacher. Such a complicated subject, you explained lucidly. Looking forward to your Transformers arch's detail video
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.
Need part 2 ....Thank you so much for these helpful videos.
Thank you sir you are my hope please upload More
Waiting for this playlist for a long time💛
Great sir. You’re video and your content are amazing… please sir continue this playlist nd add advancement of chatgpt
Sir greatly explained, The main take way i got is why we call LARGE LANGUAGE MODELS. Thank you so much sir..❤❤❤❤
sir maja aaya sunke.....thanks....
excellent sir, looking forward to watching the next GPT video, please address the career potential risks as well, and if you could add your perspective on it, that would be fantastic.
Amazing video sir again🙏🏻❤️
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 🙏
Greate...waiting for next video...❤
Good work sir , this incredible content helps us to grow in this emerging AI❤️
Amazing content as always❤🔥🔥
Bahot bahot shukriya... i am already working on LLMs COT RLHF....
this is the video i have been waiting for year, thanks sir for simplifying this
Thanks you sir for valueable content
Great way to explain the whole evolution of Language models. Thank you so much
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.
Chatgpt Last year Progress :
ChatGPT, highlighting its rapid growth from 100 million to 200 million monthly users within a year of its launch. It discusses the evolution of ChatGPT's capabilities, including its initial phase as a text generator and its current state, where it incorporates Microsoft's Bing search engine and internet resources for more up-to-date information. The article delves into the tech race for AI dominance, AI governance concerns, and regulatory developments in the United States, European Union, and China. It also covers international initiatives, such as the UN Security Council on AI and the G7 guiding principles for advanced AI. The piece concludes by contemplating future developments in language models and the importance of addressing bias and ensuring the safety of AI usage.
What a video!! Full of Knowledge & learning with excitement.
Keep doing Nitish!!
Great sir
great sir bhttt saaari videos llms per ly aayen
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
Really happy to see your new ...
thank you sir we need second part.
one of the best video on LLMs
sahi chal rahi hai playlist. quality of audio also better, less echo.
Thank you very much sir we are waiting for your course Large Language Model Transformer Attention Mechanism
Very good KT for LLM ,we are waiting for more LLM
Awesome video
THANK YOU SO MUCH, SIR!
We would love to see the upcoming video!
Yes please do make a video for the current advancements after release of chatgpt, very much needed.
Great Effort man 👍👍
Awesome, please make part-2 also.
great , waiting for another part
Really helpful...yeah would love to learn about advancement
yes sir we want part 2 of this video..
Excellent 👍🏻
Thanks for good information of LLM gpt model, i waiting for nex videos in LLM
Very informative videos.. Salute to your efforts sir.. Curiously Waiting for more videos in this series.. Thank you very much sir..
You are always great. Please make the other videos that talk more about ChatGPT.
Amazing video❤
Excellent video on the journey of LLMs .......waiting for the follow up video 👏👍
Thanks Sir for your hard work.
Super helpful, I m also going to complete your full deep learning playlist, thanks for providing it for free.
tooo Good, yes please make the advancement video
THANK YOU SO MUCH FOR SUCH A GREAT EXPLANATION AND YOUR EFFORTS SIR !!
Excellent One Nitish. Kindly speak about Hugging Face, Cohere, Langchain , Gemini, RAG . And pl explain what are parameters in LLMs. are they same as a hyperparameter for a simple ml model....
nice explanation❤❤❤
Amazing content about the history of LLMs .. great work 😍😍🥰🥰
liked the video, waiting for the next part.
First thing to do with every uploaded video here is just like it. You won't regret anyhow. LOL sir ❤🔥
Sir, my daily routine is watching your 5 videos from 6am to 5pm with some break.
Love you much sir from pak.
❤💚💛💜💙🖤🤎🤍
Only your way of Teaching can make us to understand Data Science very easly.
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. ♥
yes i want ti see the next video part 2 waiting for sir
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.
amazing bro amazing this is the explanation i am finding in the youtube
u r the only teacher who knows what we want
Sir please make that video on advancement it will be very beneficial for us
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
Thank You Sir.
If teaching is an art, then my professor you are an artist🙌
Best videos..best teacher.. thank you so much🎉..
Great video..!!
explaination totally good
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
There is not anyone who is so good in teaching machine learning and data science
Thanks sir! this video more helpful for me .
sir please launch a Langchian and llama2 model based video.