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.
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?
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).
MR. Siddhardhan, I have problem when using Hugging Face spaces with Llama 3, it keeps tell me that you "Cannot access gated repo", I searched for solutions but all of them were of no use. Can you please provide me of solution? And how can I write log in code when using Hugging face spaces?
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..
You can download it & upload it in a new session. Files uploaded to colab are not persistent. You can try jupyter notebook so that your files are persistent
"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
The best Llama Tutorial Video I found on TH-cam.
Congratulations on your teaching and professionalism.
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.
Great tutorial, bro. It worked. Thank you very much.
Questin: Why don't you use VSCode?
also, thank you it was very well explained😊
Very neat explanation. Great job 👏
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?
Another questioon: If we create and use Access Key from the Hugging face, does it cost something as per our use and for any purpose?
Sir can u upload any project for genai other than RAG ... Or any idea for any other project than RAG
text summarization, email auto-response can be good use cases to start with.
Thank You so much for this video
What if I want to add functional calling and retrieval?
Will the pipeline stay text generator?
First off, Great content. Please make a new tutorial with gradio and explain how can we integrate it api .. !!!
Can you make a video on fine tuning using hugging face models on custom set or kaggle dataset ? Either inage or nlp
did you find a way to finetune?
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).
Thank you very much!!!
MR. Siddhardhan, I have problem when using Hugging Face spaces with Llama 3, it keeps tell me that you "Cannot access gated repo", I searched for solutions but all of them were of no use. Can you please provide me of solution? And how can I write log in code when using Hugging face spaces?
Hi! You should accept the terms & conditions given the model page in hugging face. Have you tried the logging Library?
@@Siddhardhan yes, I accepted the terms and have been granted access to model
@@Siddhardhan What is the logging Library? can you explain to me or provide me with the code, please
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..
how to save the requirements.txt file? it disappear every time?
You can download it & upload it in a new session. Files uploaded to colab are not persistent. You can try jupyter notebook so that your files are persistent
@@Siddhardhan Thank you very much
is llama3 have filters too ? like nfsw conversasion or any thing crime
is it possible to do this without having colab pro?
Thank you very much!
Showing invalid upi id😔
"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
maximum 24 hours
very helpfull
I'm sorry, can you further explain the role of tokenizer.pad_token = tokenizer.eos_token? Script only runs when this line is removed.
same
THanks for the video.