Does anyone know of any good write-ups on how to carry out this sort of task, for people who are reasonably technical (i.e., know how to code) but aren’t deep in the AI world? I feel like “customize a model based on a corpus of documents” (whether that’s “fine-tuning” or “RAG”) is a thing that everyone wants to know how to do but nobody actually explains in straightforward terms. (I pay for Gemini solely for access to NotebookLM for these purposes, but it would be nice to just be able to roll my own locally.)
