The "Building LLMs for Production" book has 34 notebooks that are each either a full tutorial on an advanced LLM-related technique or application or a specific project like "Fine_Tuning_using_Cohere_for_Medical_Data.ipynb".

It took us more than a year to build all these and put the book together, and you can access all the code examples and extra resources for free on the book's page or the repo:

Of course, the theory and tips are relevant, and you will need to get yourself the book or ebook for those, but the practice is what makes you a great AI engineer / LLM developer, and you can get that for free (+ some API credits).

The sheer number of practical examples, tutorials, and practice is what makes this book unique and a good complement to many other amazing works by fantastic authors.

p.s. If you have the book (or not) but check out the notebooks, feel free to help us keep the code up-to-date and relevant with PRs!