Part 2/8:
To appreciate the significance of this new model, it's essential to grasp how traditional large language models operate. The conventional approach relies on sequential token generation, where each token is generated one after another. This means that the model cannot predict the subsequent token until it has completed the previous one, leading to a bottleneck in processing time.