Abstract
In generative artificial intelligence application development, manually consolidating iterative, multi-turn conversational interactions into a single, static prompt for production use can be a time-consuming and error-prone process. Systems and methods are described that may automate this conversion. The technology can programmatically analyze a conversational history for thematic coherence. Based on the analysis, a consolidation module may apply conditional logic, for instance, by structuring coherent turns into a few-shot prompt or pruning less relevant turns to help isolate a user's intent. The resulting prompt can be scored for quality and optionally optimized by a language model. This process can transform an exploratory dialogue into a unified, single-turn artifact suitable for integration into application source code and deployment pipelines, which can help streamline the development workflow.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Hawker, Colby and Otitigbe, Jennifer, "Thematic Consolidation of Multi-Turn Conversational Inputs into a Single-Turn Prompt", Technical Disclosure Commons, ()
https://www.tdcommons.org/dpubs_series/8924