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Detect hallucinations for RAG-based systems
AWS Machine Learning Blog With the rise of generative AI and knowledge extraction in AI systems, Retrieval Augmented Generation (RAG) has become a prominent tool for enhancing the accuracy and reliability of AI-generated responses. RAG is as a way to incorporate additional data that the large language model (LLM) was not trained on. This can also help reduce generation of false or misleading information (hallucinations). However, even with RAG’…
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