By Kaylee

RAG Limitations in Addressing AI Hallucination Issues

05-May 2024

These are mostly lies made up by AI, where the model makes stuff up that isn't true.

Retrieval-Augmented Generation (RAG) tries to get better accuracy by using outside information to guide AI answers.

RAG has trouble getting the right information for hard tasks or when data is limited.

If the knowledge base that RAG uses is wrong, it can spread false information.

RAG sometimes puts getting information ahead of understanding the prompt, which leads to responses that aren't useful.

Even though RAG is helpful, researchers are looking into other ways, such as "guardrails," to make sure facts are correct.

For AI to get better at finding accurate information and coming up with creative, honest responses, it needs new methods.

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