Years ago I thought an introductory course to python with a focus on processing text and language in the examples. During the last lessons when people where ge

Years ago I thought an introductory course to python with a focus on processing text and language in the examples. During the last lessons when people where generally pretty ok with processing normal text we started to work with markov chains. These can be very interesting for a kind of generation where you still "feel" the source material present in the branching paths of the output. I am aware that LLMs are different from markov chains, but I can't help to think about markov chains and their way of just giving you likely texts, not necessarily correct ones.