Google Releases FRAMES: A Comprehensive Evaluation Dataset Designed to Test Retrieval-Augmented Generation (RAG) Applications on Factuality, Retrieval Accuracy, and Reasoning
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Google Releases FRAMES: A Comprehensive Evaluation Dataset Designed to Test Retrieval-Augmented Generation (RAG) Applications on Factuality, Retrieval Accuracy, and Reasoning

Retrieval-augmented generation (RAG) has been a transformative approach in natural language processing, combining retrieval mechanisms with generative models to enhance factual accuracy and reasoning capabilities. RAG systems excel in generating complex responses by leveraging external […]