This paper formalizes the Landry AGI Model, a theoretical framework that addresses the hallucination problem in Large Language Models (LLMs) through the architectural separation of deterministic fact processing from probabilistic narrative generation.
Marie Seshat Landry (Sat,) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: