
A Novel Multi-Step-Prompt Approach for LLM-based Q&As on Banking Supervisory Regulations
This paper investigates the use of large language models (LLMs) in analysing and answering questions related to banking supervisory regulations. We propose a multi-step-prompt approach that enriches the context provided to the LLM with relevant articles from the Capital Requirements Regulation (CRR).
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