I understand what the model is and how you get to it. I know the training data is not stored. But as far as i understand - the model is closer to derived intermediary from the training data. Like database index or like you said form of compression.

Thats why i on purpose tend to call trainng data + model the database. Because to non progammers it makes more sense. To me there is intentional slight of hand of hiding the fact that the only reason LLMs can work as they do now is because of the source data. The way its usually marketed it seems like the model is program that generalised principles of drawing from looking and other drawings thats why it can draw like Mijazaki when it wants to. Not that it can draw Mijazaki because it preprocessed every Mijazaki drawing, stemmed patterns out of it and can mash them with other patterns (from the database).

Thats why i intentionally say database to lead this discussions back to what i see is core of these technologies.