The conventional process of compliance document analysis is akin to searching for needles in haystacks, with the added pressure of accuracy and timeliness. The integration of LLMs into this ecosystem introduces an unprecedented ability to sift through vast quantities of text, extracting pertinent information and identifying compliance issues with remarkable precision.

By interfacing directly with continuously updated databases and publications, RAG-equipped models are significantly less prone to producing outdated or erroneous information.

Fine-tuning an LLM is akin to sharpening a tool to perform a specific task with greater precision. Pre-trained LLMs come equipped with a broad understanding of language, but they may lack the nuanced knowledge required for specialized applications.