The Great Squeeze - Understanding LLM Information Density

A modern Large Language Model (LLM) is capable of retrieving and connecting information from a massive body of knowledge, yet the resulting model weight is surprisingly small compared to the data it was trained on. This compression is possible because we have moved from an architecture of data storage to one of mathematical representation. In traditional computing, we rely on Data Persistence. If…