AWS’ new theory on designing an automated RAG evaluation mechanism could not only ease the development of generative AI-based applications but also help enterprises reduce spending on compute infrastructure.
RAG or retrieval augmented generation is one of several techniques used to address hallucinations, which are arbitrary or nonsensical responses generated by large language models (LLMs) when they grow in complexity.
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