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When compared to typically made use of Decoder-only Transformer models, seq2seq architecture is much more appropriate for training generative LLMs presented much better bidirectional focus on the context.This tactic has decreased the level of labeled knowledge required for schooling and improved Over-all model functionality.Engaged on this undertak