Abstract: An advanced transformer architecture for an LLM with epistemic embedding for disclosed. The LLM includes a corpus address system for detailed addressing of input data, an input layer configured to create detailed addressing for words and sentences within the input corpus, and an embedding layer that combines epistemic embedding, word embedding, metadata embedding, and speaker tag embedding, and a corpus attention system using attention markers for managing focus. Epistemic embedding for the input corpus is generated using a vignette tableau and the epistemic embeddings are indicative of user sentiment and epistemic evidence values.