GPT-4 Technical Report
Massey University · Cardiff University
Abstract
Abstract—Large Language Models (LLMs) suffer from inherent stochasticity, limiting their utility in high-stakes enterprise environments where determinism and auditability are required. This paper introduces the MFOUR Vibe Framework (MVF), a platform-agnostic architectural standard that transforms probabilistic natural language intent into deterministic software artifacts. We define a five-layer topology, comprising the Kernel Identity, Synaptic Routing, Interface Contracts, Context Anchoring, and the Mirror Test. Furthermore, we introduce The Vibe Integrity Score (VIS), a quantitative metric for evaluating the structural adherence of generative outputs. This specification provides the foundational schema and…
Citation impact
- FWCI
- 384.68
- Percentile
- 100%
- References
- 0
Authors
3- WKWijegunarathna, KalanaCorresponding
Massey University
- SKStock, Kristin
Massey University
- JCJones, Christopher B.
Cardiff University
Topics & keywords
- Transformer
- Computer science
- Security token
- Process (computing)
- Scale (ratio)
- Artificial intelligence
- Machine learning
- Cartography
- Industry, innovation and infrastructure