doi.org
LLMs for Closed-Library Multi-Document Query, Test Generation, and Evaluation
September 2024 • Maj Claire Randolph, Adam Michaleas, Darrell Ricke
<title>Abstract</title> Learning complex, detailed, and evolving knowledge is a challenge in multiple technical professions. Relevant source knowledge is contained within many large documents and information sources with frequent updates to these documents. Knowledge tests need to be generated on new material and existing tests revised, tracking knowledge base updates. Large Language Models (LLMs) provide a framework for artificial intelligence-assisted knowledge acquisition and continued learning. Retrieval-Augme…