Large Language Models

Large language models (LLMs) are defined, and their importance to this monograph is debated. The problems with LLMs being used in non-traditional authorship attribution are discussed (e.g., false attributions and hallucinations). Application programming interfaces (APIs) are explained. The crucial problem of chronology in the LLMs for practitioners working in past centuries is discussed. The lack of adequate tagging and control of the makeup of the LLMs is shown to be a fatal flaw for those employing these models. The morphing aspect of LLMs constitutes an impassable roadblock for the field. The input prompts of the practitioner are defined, and several examples are given. The rhetorical, linguistic, and stylistic aspects of working with LLMs are discussed. Pruning LLMs into small language models is mentioned as something to be considered.