Researchers at Amazon's AWS propose setting benchmarks to evaluate how well RAG systems can answer domain-specific questions, aiming for automated, cost-efficient, and robust strategies for optimal component selection.
The lack of a standardized evaluation approach for RAG systems highlights the necessity for task-specific measurement of qualities like 'truthfulness' and 'factuality,' prompting the creation of automated exams tailored to document corpora.
#generative-artificial-intelligence #retrieval-augmented-generation #benchmarks #rag-systems #automated-evaluation
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