End To End LLM Project Using LLAMA 2- Open Source LLM Model From Meta

Blog Generation Platform Code: github.com/krishnaik06/Comple...
The Llama 2 release introduces a family of pretrained and fine-tuned LLMs, ranging in scale from 7B to 70B parameters (7B, 13B, 70B). The pretrained models come with significant improvements over the Llama 1 models, including being trained on 40% more tokens, having a much longer context length (4k tokens 🤯), and using grouped-query attention for fast inference of the 70B model🔥!
Time Stamp
00:00:00 Introduction And Agenda
00:02:36 Introducing LLama 2 Fro Meta
00:05:08 LLama 2 Research paper
00:10:20 How To Download LLama 2 model
00:13:18 End To End Blog Generation LLM Platform
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[@krishnaik06]

AI field is really becoming dynamic.Lot of changes are coming from Traditional Machine Learning to Generative AI.This field is changing dynamically and we need to update ourself as we go ahead. Join my telegram group where I post and discuss these types of content.Happy Learning!! Make sure you have telegram installed in it. t.me/+V0UeLG8ji-F8ThNb

[@akshaykumarmishra2129]

hi, do we have an open source model which can help us in selecting something out of the available list based on requirements...... or any other way

[@RanjitSingh-rq1qx]

Sir we don't want to use pre-trained model, we want to fine tuning these models with our custome data.

[@RohitKumarGuptarkg]

Sir, I have a basic question related to Prompting. Does any learning (with model weight update) happen during Prompting? If not, then how does the model learn from Few Shot Prompting?

[@bgh1301]

Your videos are awesome, If you kindly make a video on RLHF with the code, it will be greatly helpful.

[@gellitarun616]

hi sir could you please help me with the erro i'm facing when run the model File "C:\Users\tarun\anaconda3\envs\venv\lib\site-packages\streamlit untime\scriptrunner\script_runner.py", line 534, in _run_script exec(code, module.__dict__) File "C:\Users\tarun\llm\app.py", line 57, in st.write(getllamaresponse(input_text,no_words,blog_style)) File "C:\Users\tarun\llm\app.py", line 28, in getllamaresponse response=llm(prompt.format(style=blog_style,text=input_text,n_words=no_words)) File "C:\Users\tarun\anaconda3\envs\venv\lib\site-packages\langchain_core\prompts\prompt.py", line 132, in format return DEFAULT_FORMATTER_MAPPING[self.template_format](self.template, **kwargs) File "C:\Users\tarun\anaconda3\envs\venv\lib\string.py", line 161, in format return self.vformat(format_string, args, kwargs) File "C:\Users\tarun\anaconda3\envs\venv\lib\site-packages\langchain_core\utils\formatting.py", line 18, in vformat return super().vformat(format_string, args, kwargs) File "C:\Users\tarun\anaconda3\envs\venv\lib\string.py", line 165, in vformat result, _ = self._vformat(format_string, args, kwargs, used_args, 2) File "C:\Users\tarun\anaconda3\envs\venv\lib\string.py", line 205, in _vformat obj, arg_used = self.get_field(field_name, args, kwargs) File "C:\Users\tarun\anaconda3\envs\venv\lib\string.py", line 270, in get_field obj = self.get_value(first, args, kwargs) File "C:\Users\tarun\anaconda3\envs\venv\lib\string.py", line 227, in get_value return kwargs[key]

[@zedia121]

Thank you Krish, please continue to create contents like this!

[@babukrishnamurthy8224]

I am happy that i found you in KZbin. You are doing a great job. Keep going.

[@user-bp5eg5jq4s]

please keep doing such videos!! kudos to your work.. and patience.

[@morenomt27]

wow @krishnaik06!!! Thank you for this. Just in time!! I had been looking for Llama tutorials and here you are :)

[@sandeepmahale1941]

Thanks for making it simple yet comprehensive. Look forward to more such videos. :)

[@samuelahiadjipe3894]

Thanks a lot for your amazing videos! I learn a lot from you. Love from Togo!

[@MrSikesben]

Hi Krish, I like this approach of the training. It gives you a good background

[@jayanthkoripalli3403]

Thank you very much, You have made my Project way easier by the way you explained everything!

[@KrishnaKhandelwal15]

Thank you Krish, I am from QA background but your videos helped me a lot to learn AI. you are my AI Guru :)

[@AIforAll-DOMANA]

ALWAYS BIG THINGS AND EPLAINATIONS , THANK YOU

[@ankitkumar-ef8ie]

I really Love the way you explain Krish , I am a big Fan of your teaching style and content tooo..

[@chandrachoodR]

This is a great way to learn Krish , keep doing your great work

[@ushabathula]

Thanks for making this video, which is very much useful in implementing real world LLM use cases, OfCourse we are using currently.

[@krishanagyanwali]

It already met your target. Keep teaching!

[@darshandodamani6682]

This is my excellent learning till today. Thank you so much sir.

[@prabhamelady1680]

Hi Krish, Thank you so much for uploading all best resources to keep us upto date. I am ur follower from many years. because of your resources I got into Datascience job 2 year back and upgrading myself by ur videos and encouragement. Thank you

[@InduDevi-zo9gs]

that's great 😊

[@sibaprasadnaikbehera3442]

Thank you for making this amazing video on open source llama2 , really helpful for free gpt programmers

[@KayPubg-ld6nh]

Hi Krish, Thanks for your educational videos.

[@pragatimehra6430]

Mazza aa gaya, Sir. Really well structured! Thanks a lot!

[@shaonsikder556]

Really cool tutorial. You made it easy to understand>>>Hats off

[@sayantanmandal4034]

thank you sir ,your video have every details we required for using a llm model.

[@user-xk5of6jy2o]

Great content! thank you Krish

[@MohitKRohilla]

Sir your knowledge, confidence and content are phenomenal. Salute to great efforts. :)

[@user-sj5cf5gg8t]

Thank you for sharing this valuable knowledge

[@sharankumar31]

Thankyou for teaching us... Very helpfull for other domains too..

[@yajursehra5379]

Amazing video, Thanks Krish

[@nathalie4535]

Thank you so much. I love all your Videos.

[@fatsam6658]

Thank you sir for this wonderful and fruitful video

[@muhammadtalmeez3276]

please keep going with this format for other models as well. Thanks

[@arupmmi07]

Great lecture, and great effort than you very much.

[@pratapsingha2918]

Quite Good Sir And we Want More Like This

[@SamGirgenti]

good job man, thank you!

[@sachin5275]

Great explanation sir, much love from sri lanka❤

[@bankoleayoade8852]

Good project. Thanks Krish

[@faysalmahmud2721]

It's really initiative. You are doing very well

[@manishraj-rz4lh]

Incredible Stuff Keep Going ✌

[@gauravbhandari3409]

Hi Sir, fantastic video. Keep it up

[@anujaiswal8079]

Thank you so much for amazing contents

[@020hamza2]

Thanks a lot sir nice initiative please keep it up

[@sasibhushan4850]

this is an awsome format

[@bamideletewogbade1503]

haha your predicted stats have been smashed. cheers to seeing more videos around working with LLM's

[@shivaaynamah6612]

It is really a nice initiative by you

[@mubasharsaeed6044]

Thank you for the great video

[@MOHAMMEDADNAN-vv2me]

Sir its a very good video to learn about LLM and to know how to generate end to end projects from these models

[@jimharrington5678]

Hey Krish, this is a treasure please do videos on fine-tuning, and deployment also.

[@alejandronavio]

Thanks for making this video

[@deepaktiwari5874]

i learn and know about data science and ai ...thank you very much sir your video such a very help me for work in project and also understand about next workplace in ai and data science ...

[@khalidal-reemi3361]

Eagerly waiting for fine-tuning such model on our own data.

[@utkarshtripathi9118]

best video on LLama

[@khaderather]

Thanks for the video sir .....❤

[@manishkumaryadav189]

Great Sir, I am a Full Stack Developer, I am looking forword to involve in Data Science field, and I am going to follow your The-Grand-Complete-Data-Science-Materials and Roadmap-To-Learn-Generative-AI-In-2024. My 2024 target is only follow you .😊 Thank you GURU JI🙏

[@adeebahmad5327]

one of the best video

[@simply54]

awsome ..thank you so much

[@manjitbaishya3996]

Hello sir, PW student here. First of all, I would like to thank you for the amazing ML classes you took for PW. They were really amazing and the way you taught were very easy and very simple. Looking forward to learning the rest from you here.

[@riyayadav8468]

What is pw

[@GauravSingh-xs6qn]

​@@riyayadav8468😮 Physics wallah

[@SrijitoGhosh]

@@riyayadav8468, Physics Wallah

[@user-on1qo8un2t]

you videos deserve more than 100000000 comments and likes

[@vatsalsinha625]

NICE WORK SIR

[@user-rz5rs2kr1w]

That was really helpful.

[@SreeCharan-dx7oc]

Thank you

[@nikhilnatesh7276]

Thanks for the knowledge1

[@vaibhavkumar7997]

amazing content

[@nehachouhan3398]

Amazing.......... it is really good

[@insanemedia786]

good sir very helping this vedios nice nice......

[@team6751]

Thank you❤ Sir

[@wafalakhdhar4287]

Awesome

[@atirekgupta6539]

Really great tutorial

[@sudhirkhadke8775]

Thank You Sir

[@syedkhadeer123]

For your effort🎉

[@jayachandranswarnamoorthy]

Thanks Krish this way ahead ChatGPT LLM

[@sivabalaram4962]

Thank you for uploading end to end project, can you make video on other LLMs like falcon, Jurassic, Lama index

[@narendraparmar1631]

Thanks Krish

[@RamaChandran-fc3hp]

Finally meta also created their llm models

[@rajrajabhathor2996]

Thanks!

[@arunmunagala8333]

great video!

[@Tamilgamesandtech]

Good project🎉

[@waqasbilal6934]

Great video, love from Pakistan sir...

[@KashiF.Ali88]

Nice initiative ❤

[@gurjeet333]

Thanks for the wonderful vedio, Can you also create a vedio on deployment of such large models

[@Dhirubhai766]

Amazing vedio

[@alirana327]

helpfull video

[@gunasekhar8440]

Great share sir.

[@krishnaik06]

Many many thanks

[@ganeshkshet5631]

awesome

[@ahmdbilal81]

thanks 😍

[@monu8374]

Hello Sir, Thank you for such a quick and Concise tutorial on Llama. I watched till the end and did a side-by-side code my myself till the end BUT the output in the StreamLit app is, taking forever to generate the required text

[@Coconut34578]

Best video ❤❤

[@arielgamao5480]

I hope to see your future video tutorials of ai-based chatbot using python. Thanks

[@nasiksami2351]

Can you please make a tutorial on using LLM's to augment textual data on private data. Where no data will be re-used to train LLM models. That would be a great help!

[@Pravin33unique95]

Great

[@mohdkashif7295]

Thanks krish for this series, can you also make video on huggingface RagModel and RagRetriever for generative AI

[@hrk1]

You made it simple

[@kenkimani194]

Lets go Krish❤

[@haitamborqane5602]

Get this man to 100 likes

[@user-iw8cf3yz8g]

sir please videos on using pretrained models also like yolo ,coco ssd so that we can dive deep into how to build projects using that

[@user-lk7bt1yz1t]

Hi Krish! I learned data science through your videos and am now working as a data scientist. BIg Thanks! Can we use QA answer models without OpenAI or anything free of cost?

[@sagarhande2906]

👏

[@lavinadurgani3149]

Thanks @krishnaik06 This is very helpful

[@Xvherio]

bro lets goo

[@moulisiramdasu6753]

Hi Sir, Please create a video on Optimization and quantization techniques for LLM

[@nirobsarkar2926]

nice content

[@rishichowdhury4296]

I hope the next video would be as open source as possible . If you are going to use cloud please make sure its free so that we can code along with you. Again thank you so much