Closed lulu3202 closed 1 month ago
Hey @lulu3202
While I really like the proposal, would the notebook be very simple to start with? Things to keep in mind:
If all the above pointers make sense, we could add this to the repository. What do you think?
Thanks for getting back to me, @ariG23498 - I am from product management and a beginner myself in the whole ML/DL space:) So yes, I will keep it simple and straightforward and will follow steps 1,2,3 noted above - this is my first ever open source contribution, so I am excited :)
this is my first ever open source contribution, so I am excited :)
I am too! Let's get a google colab running in the mean time, once done you could share it in the issue for me to review. Once it looks good to me, I will add this issue to the main thread and then ask you to open up a PR.
How does that sound to you?
Yes, sounds good @ariG23498 - will share it here for your review once I complete the colab notebook and we'll go from there
@ariG23498 - I have two google colab notebooks for your review:
@lulu3202 thank you for sending me the notebook, and they look great!
While I really like the notebooks, I do not think this would be an example that fits this repository. We already have inference notebooks with us, which gets a beginner up and running with Llama.
While I would have to reject this proposal, it would be great if you would like to create a Hugging Face Space with your Gradio demo, and publish it for everyone to use!
Closing the issue, but feel free to suggest something else in another new issue! (Also I would suggest you to look into the repo first, so that there is no collision between already made notebooks)
My idea is to build a Personalized learning assistant, an interactive learning application that will help learners with new concept and provide them with personalized practice questions. I will use two functions for this - one for question_answer and another for generating_practice_questions. I plan on using Llama 3.1 B - Instruct model. I will first execute the two functions on google colab notebook and then create the gradio demo.