HandsOnLLM/Hands-On-Large-Language-Models ? reverse-engineered prompt

I want to set up a project with all the code examples from the O'Reilly book "Hands-On Large Language Models." The goal is to have a local environment where I can run all the Jupyter notebooks mentioned in the book's official GitHub repository.

Please create a folder for each chapter, from 1 to 12, and put the corresponding notebook inside. I want to be able to explore all the topics covered, like how transformers work, prompt engineering, semantic search and RAG, fine-tuning models, and multimodal applications.

Set up the whole thing so it's ready to go. Make sure to install all the necessary Python dependencies from the requirements.txt file so I can just open any notebook and start running the code cells to follow along with the book.