DaG LLM ver 1.0: Pioneering Instruction-Tuned Language Modeling for Korean NLP

The introduction of the Transformer architecture by Vaswani et al. [2017] marked a seminal moment in natural language processing (NLP), setting a new benchmark for subsequent research and advancements. At the heart of the Transformer's innovation are its self-attention mechanisms, which have paved the way for a series of pioneering language models that significantly enhance language understanding and generation capabilities. This surge in progress is exemplified by the GPT series, especially GPT-3, which demonstrated the broad impact of extensive pre-training [Vaswani et al., 2017, Brown et al., 2020].