preprintarXiv (Cornell University)Mar 15, 2023GREEN OA

GPT-4 Technical Report

WKWijegunarathna, KalanaSKStock, KristinJCJones, Christopher B.

Massey University · Cardiff University

Indexed inarxivdatacite

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…

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2,333
total citations
FWCI
384.68
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100%
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Authors

3
  • WK
    Wijegunarathna, KalanaCorresponding

    Massey University

  • SK
    Stock, Kristin

    Massey University

  • JC
    Jones, Christopher B.

    Cardiff University

Topics & keywords

Keywords
  • Transformer
  • Computer science
  • Security token
  • Process (computing)
  • Scale (ratio)
  • Artificial intelligence
  • Machine learning
  • Cartography
UN Sustainable Development Goals
  • Industry, innovation and infrastructure
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