Through the training approach, these models learn how to forecast the next word within a sentence dependant on the context supplied by the previous words. The model does this via attributing a probability rating towards the recurrence of words which were tokenized, damaged down into scaled-down sequences of people. https://financefeeds.com/bitcoin-could-hit-300k-by-2030-says-ark-invest/