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

[@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]

[@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

[@anshikabansal7664]

it is taking a lot of time to execute. can somebody tell me solution for that?

[@zedia121]

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

[@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 😊

[@babukrishnamurthy8224]

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

[@mohdsiddiq5752]

your contributions to deep learning field is amazing thank you

[@sandeepmahale1941]

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

[@user-bp5eg5jq4s]

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

[@MrSikesben]

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

[@ankitkumar-ef8ie]

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

[@pragatimehra6430]

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

[@jayanthkoripalli3403]

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

[@morenomt27]

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

[@KrishnaKhandelwal15]

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

[@chandrachoodR]

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

[@krishanagyanwali]

It already met your target. Keep teaching!

[@AIforAll-DOMANA]

ALWAYS BIG THINGS AND EPLAINATIONS , THANK YOU

[@samuelahiadjipe3894]

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

[@bamideletewogbade1503]

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

[@sayantanmandal4034]

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

[@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🙏

[@ushabathula]

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

[@sachin5275]

Great explanation sir, much love from sri lanka❤

[@MohitKRohilla]

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

[@RamaChandran-fc3hp]

Finally meta also created their llm models

[@darshandodamani6682]

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

[@pratapsingha2918]

Quite Good Sir And we Want More Like This

[@user-on1qo8un2t]

you videos deserve more than 100000000 comments and likes

[@sasibhushan4850]

this is an awsome format

[@KayPubg-ld6nh]

Hi Krish, Thanks for your educational videos.

[@sibaprasadnaikbehera3442]

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

[@khalidal-reemi3361]

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

[@manishraj-rz4lh]

Incredible Stuff Keep Going ✌

[@yajursehra5379]

Amazing video, Thanks Krish

[@faysalmahmud2721]

It's really initiative. You are doing very well

[@sharankumar31]

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

[@utkarshtripathi9118]

best video on LLama

[@user-xk5of6jy2o]

Great content! thank you Krish

[@muhammadtalmeez3276]

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

[@jimharrington5678]

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

[@SamGirgenti]

good job man, thank you!

[@fatsam6658]

Thank you sir for this wonderful and fruitful video

[@datasciencegyan5145]

No need of stopping in terminal, if you refresh the webpage it will fetch the latest changes which you have made in the visual studio

[@gauravbhandari3409]

Hi Sir, fantastic video. Keep it up

[@user-sj5cf5gg8t]

Thank you for sharing this valuable knowledge

[@bankoleayoade8852]

Good project. Thanks Krish

[@Banditxam4]

I can't believe this is available for free

[@VisualDatahub-p4b]

Great effort

[@shivaaynamah6612]

It is really a nice initiative by you

[@vatsalsinha625]

NICE WORK SIR

[@arupmmi07]

Great lecture, and great effort than you very much.

[@nathalie4535]

Thank you so much. I love all your Videos.

[@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

[@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

[@vaibhavkumar7997]

amazing content

[@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 ...

[@gunasekhar8440]

Great share sir.

[@krishnaik06]

Many many thanks

[@Tamilgamesandtech]

Good project🎉

[@020hamza2]

Thanks a lot sir nice initiative please keep it up

[@adeebahmad5327]

one of the best video

[@wafalakhdhar4287]

Awesome

[@jayachandranswarnamoorthy]

Thanks Krish this way ahead ChatGPT LLM

[@kenkimani194]

Lets go Krish❤

[@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!

[@jimitnaik]

This video is based on Pre-trained models like Llama2 which has been trained on vast datasets and can generate high-quality text with minimal setup. Since the model is already trained, you don't need extensive computational resources. The use case is suitable for applications where the quality of generation is paramount, and the context or data to be retrieved can be generalized or is contained within the training data of the LLM. However, Could you please create a video of the Customized Retrieval and Generation project(RAG)? This would be Ideal for applications where the retrieval needs are specific and the data sources are unique or require customized processing (e.g., legal documents, technical manuals, news articles).

[@anujaiswal8079]

Thank you so much for amazing contents

[@alejandronavio]

Thanks for making this video

[@nehachouhan3398]

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

[@KashiF.Ali88]

Nice initiative ❤

[@waqasbilal6934]

Great video, love from Pakistan sir...

[@Xvherio]

bro lets goo

[@insanemedia786]

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

[@user-rz5rs2kr1w]

That was really helpful.

[@mubasharsaeed6044]

Thank you for the great video

[@haitamborqane5602]

Get this man to 100 likes

[@yashbaravaliya2185]

This is a Great video. but please make a video about on a how to connect NVidia gpu with conda oro python

[@bhaveshkipathshala]

Dear Krish Naik, Very nice video for LLMs especially using Open Source LLMS. One question that Can create custom LLMs chat application by using LLAMA 2- Open Source LLM Model, in that we make some customization like it will search from specific websites (8-10 different websites) and pdfs (custom pdfs we will prepare and upload on specific location). so it will search from the specific website and our own pdfs and generate the custom human like response? Thank you so much for your efforts in KZbin, Your videos is very useful and easy to understand. Waiting for some more practical demos on LLMs (Open source). Regards Bhavesh

[@atirekgupta6539]

Really great tutorial

[@srishrachamalla9607]

It was a great project! Could you please create a video on integrating the same project with an API?🙂

[@nikhildoye9671]

Did you find any other resources about it? Because I don't want to download such big model into my local.

[@syedkhadeer123]

For your effort🎉

[@Pradip_Deshmukh]

Hi Sir, thank you so much for this helpful video. But I'm getting problem to run the model. I did same thing as you said but, when I click on Generate button it doesn't showing anything. Not answer neither error. can you please help me in that.

[@shubhammaulekhi1074]

Bro do U get the result like how it will show the output

[@sanskruti2908]

same, were you able to resolve it?

[@khaderather]

Thanks for the video sir .....❤

[@lalmanthakur7899]

make a video on how to train llama2 on your custom data on local machine and make fastapi deploy on azure

[@sivabalaram4962]

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

[@arielgamao5480]

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

[@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?

[@arunmunagala8333]

great video!

[@ZingatSidLive]

Best video ❤❤

[@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

[@PranavBaviskar]

Superb video. Thanks, Krish. Just a question: How do you use a finetuned model adapter to build the application? A video on this would be greatly helpful.

[@nikhilnatesh7276]

Thanks for the knowledge1

[@mohdkashif7295]

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

[@simply54]

awsome ..thank you so much

[@gurjeet333]

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

[@pavangoyal6840]

This is nice. However can you create some end to end video project like network log analysis or db log analysis for enterprise customers so that it is more meaningful

[@Dhirubhai766]

Amazing vedio

[@atirekgupta6539]

please create a RAG systems using LLama 2 as well

[@Siddhivinayak_temple]

I want to understand what is the future of LLM and GenAI for developers what kind of work we will get ? Using other AI models to crate chat bot, images, videos ??

[@sgatea74]

Hi Krish, thanks for the excellent demo. Is there a way to extend the code to use GPU if available ?

[@ganeshkshet5631]

awesome