stas00/ml-engineering ? reverse-engineered prompt

Build me a polished open book site for machine learning engineering that organizes practical notes, guides, and cheat sheets for training and running large language models and multimodal models.

I want it to feel like a real working handbook for engineers, with clear sections for compute, storage, networking, orchestration, training, inference, debugging, testing, and useful resources. It should be easy to browse like a book, with a table of contents, readable markdown pages, and simple navigation between chapters.

Please also include a way to generate ebook versions like PDF and EPUB, plus a few short utility guides or quick reference pages for things people need often, like GPU checks, distributed training debugging, and cluster evaluation. Keep it focused on practical copy and paste advice, not theory heavy explanations.

If you need current docs or examples to make the build nicer, look them up online.