kevintsai/Finetuning-Large-Language-Models ? reverse-engineered prompt

I want you to build this course project into a clean set of Jupyter notebooks that teaches finetuning large language models from start to finish.

It should help a learner understand when finetuning makes sense versus prompt engineering, how to prepare data, how the training process works, and how to evaluate and improve a model. Make the notebooks easy to follow, practical, and hands on, with clear explanations, runnable examples, and small exercises that use real datasets where possible.

Please organize the material so each notebook feels like a lesson, with simple code cells, short explanations, and sensible outputs. If you need to check current library docs or example workflows online, go ahead and do that. Keep the focus on making the learning experience smooth for someone who is new to finetuning but wants to actually try it themselves.