Compared to generally utilized Decoder-only Transformer models, seq2seq architecture is more suitable for training generative LLMs supplied more robust bidirectional focus towards the context.WordPiece selects tokens that boost the probability of the n-gram-dependent language model properly trained around the vocabulary composed of tokens.Improved