I don't think "memoisation" is an accurate word for this; it implies doing the computation once, and storing the result in cache to return later. It's more like replacing your Python code with a SQL query of the LLM's understanding of what it's supposed to do, which may or may not be correct, and executing it on its "database" of knowledge, which may or may not have the correct data.