
This document presents a language-based control framework developed collaboratively in dialog between a human user and ChatGPT. The system, named PRIM (Prioritization Framework for Intelligent Modularity), consists of five linguistic modules (OMIOs) and enables context-sensitive modulation of large language model behavior without coding or plugin integration. It was developed and tested in a live conversational setting and is documented here in three parts.
llm, ChatGPT, ai, prompt design, reflexivity, emergent structure, modularity
llm, ChatGPT, ai, prompt design, reflexivity, emergent structure, modularity
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
