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Hybrid LLM/Rule-based Approaches to Business Insights Generation from Structured Data
A. Vertsel and M. Rumiantsau
This paper, conducted by Aliaksei Vertsel and Mikhail Rumiantsau, delves into innovative hybrid approaches that merge rule-based systems and Large Language Models (LLMs) to extract actionable business insights from complex datasets. It highlights how this combination can overcome the limitations faced by traditional systems and standalone models, promising enhanced data extraction and insights generation.
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