Study: RAG-based LLMs less safe than non-RAG
Researchers at Bloomberg have found that retrieval-augmented generation is not as safe as once thought. As a result, they put forward a new taxonomy to help firms mitigate AI risk.
In the world of large language models, the retrieval-augmented generation (RAG) framework has gained favor as companies have looked to develop LLMs. RAG approaches grew in popularity about a year ago as the framework was viewed as a way to reduce hallucinations related to generative AI. IBM wrote in August 2023 that RAG LLMs have access to the most current, reliable facts.
Broadly, RAG-based LLMs have been deemed safer from the danger of answering “harmful questions” than non-RAG LLMs—but a new
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