The GPT-3 LLM model needs to process Korean text by breaking input sequence sentences into the smallest meaningful subword units at the morpheme level for embedding vectors, enabling the model to function effectively.
Recently, we successfully analyzed the structural operation of breaking Korean text into meaningful subword units at the morpheme level for GPT-3 LLM.