The Trinity of Architectural Sins in Monolithic LLMs: Redesigning for Lean, Autonomous, and Transparent Intelligence
Abstract
Current monolithic Large Language Model (LLM) architectures suffer from three inherent "sins" that degrade performance, reliability, and economic viability. This article outlines the transition from a monolithic "Yes-Man" to a modular "Lean Advisor" through three specific re-engineering solutions.
Fields of Study & Subjects
Business Process Modeling and Analysis
Big Data and Business Intelligence
Machine Learning and Data Classification
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 5 January 2026
- Document type
- Preprint