Large language models for closed-library multi-document query, test generation, and evaluation

Large language models for closed-library multi-document query, test generation, and evaluation

IntroductionLearning 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 a...

Full description

Saved in:
Bibliographic Details
Main Authors: Claire Randolph, Adam Michaleas, Darrell O. Ricke
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-08-01
Series:Frontiers in Artificial Intelligence
Subjects:
large language models
LLM
retrieval-augmented generation
RAG
LangChain
Online Access:https://www.frontiersin.org/articles/10.3389/frai.2025.1592013/full
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items