Meta's LLAMA 3 with Hugging Face - Hands-on Guide | Generative AI | LLAMA 3 | LLM
Dive into the future of generative AI with our detailed guide on how to access Meta's LLAMA 3 using Hugging Face. This video provides a step-by-step walkthrough to help you harness the power of one of the most advanced language models available today.
Hi! I will be conducting one-on-one discussion with all channel members. Checkout the perks and Join membership if interested: / @siddhardhan
Code file link: colab.research...
All presentation files for the Machine Learning course as PDF for as low as ₹200 (INR): Drop a mail to siddhardhans2317@gmail.com
Machine Learning Course in 60 Hours: • Complete ML course in ...
Machine Learning Projects Playlist: • Machine Learning Projects
Hello everyone! I am setting up a donation campaign for my KZread Channel. If you like my videos and wish to support me financially, you can donate through the following means:
From India 👉 UPI ID : siddhardhselvam2317@oksbi
Outside of India? 👉 Paypal id: siddhardhselvam2317@gmail.com
(No donation is small. Every penny counts)
Thanks in advance!
Let's build a Community of Machine Learning experts! Kindly Subscribe here👉 tinyurl.com/md...
I am making a "Hands-on Machine Learning Course with Python" in KZread. I'll be posting 3 videos per week: Monday Evening; Wednesday Evening; Friday Evening.
Download the Course Curriculum File from here: drive.google.c...
LinkedIn: / siddhardhan-s-741652207
Telegram Group: t.me/siddhardhan
Facebook group: www.facebook.c...
Getting error in any of the codes that I have explained? Mail the details of the error to: datascience2323@gmail.com
Instagram: / siddhardhan23
Пікірлер: 21
My first hands-on, programming tutorial that I’ve walked through in 20 years. Very well done (followed on LinkedIN). I had trouble with the Pipeline, max tokenizer return. I’ll troubleshoot more later. Ran after I removed that Pipeline attribute. Well done - thanks for your time making these videos. Excellent introduction/hands on to AI programming.
Thank You so much for this video
Very neat explanation. Great job 👏
Hello @Siddhardhan It was a very informative video and helped me a lot to understand the entire code. Can you please make a video on How can we fine tune the LLama 3 using RAG while the code structure will be the same as this video (It will help to understand the entire process at a time).
very helpfull
Hi, thank you very much and really appreciate the knowledge you are sharing through this video. Would it possible to know, how to fine-tune a LLM in q&a format dataset please?
First off, Great content. Please make a new tutorial with gradio and explain how can we integrate it api .. !!!
What if I want to add functional calling and retrieval? Will the pipeline stay text generator?
Bro. In machine learning by using svm or lr, if i give any input it shows reults as 1. It doesn't show 0.And it shows some warning messages like you reached maximum iteration . Limit reached. What can I do for this bro..
I have faced an issue: RuntimeError: No GPU found. A GPU is needed for quantization. How to use Few-shots in meta-llama/Meta-Llama-3-8B and Dataset in .csv file?
"Your request to access this repo has been successfully submitted, and is pending a review from the repo's authors." How much time will it take?? edit: 10 minutes :D
Thank you very much!
is llama3 have filters too ? like nfsw conversasion or any thing crime
Sir can u upload any project for genai other than RAG ... Or any idea for any other project than RAG
@rajsethi26
3 ай бұрын
text summarization, email auto-response can be good use cases to start with.
is it possible to do this without having colab pro?
Can you make a video on fine tuning using hugging face models on custom set or kaggle dataset ? Either inage or nlp
@farajacod3717
Ай бұрын
did you find a way to finetune?
Showing invalid upi id😔
I'm sorry, can you further explain the role of tokenizer.pad_token = tokenizer.eos_token? Script only runs when this line is removed.
@doggydoggy578
3 ай бұрын
same