Side track: There is so much going on this space. I wish there was a chronological flow of a machine learning scenario/story with all the terms being introduced as we meet them (data, pre-training, training, inference, mixture of experts, RAG). Like someone walking me through a factory explaining what happens at each stage (like Mr Rogers used to do). Most of the time I do not know where the terms fit in the big picture. When I first came across pre-training I thought it was something done to the data before training happened but it was actually another training.