Evaluate the reliability of Retrieval Augmented Generation applications using Amazon Bedrock
AWS Machine Learning
JUNE 20, 2024
Retrieval Augmented Generation (RAG) is a technique that enhances large language models (LLMs) by incorporating external knowledge sources. It allows LLMs to reference authoritative knowledge bases or internal repositories before generating responses, producing output tailored to specific domains or contexts while providing relevance, accuracy, and efficiency.
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