Some time ago, Andrej Karpathy posted a YouTube video about building GPT from scratch. Using the same dataset (a 1MB text file with all of Shakespeare’s works),

Some time ago, Andrej Karpathy posted a YouTube video about building GPT from scratch. Using the same dataset (a 1MB text file with all of Shakespeare’s works), the video goes from a very basic model to something like GPT2 What really stood out to me is that, while the typical wisdom is “more data -> better model”, in the video they use the exact same data for all the models, so all the gains are achieved only through improved algorithms and computation power With that in mind, I wonder if at some point someone will figure out an algorithm for a model that can be trained on just an English dictionary and get a decent LLM-equivalent model that can have a basic conversation. Given the small size of the data (a dictionary), I assume the model would be pretty small and quite fast to run, even on older or smaller machines