AI's Tightrope Walk Between Creativity and Hallucination
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AI models make mistakes and cannot always be trusted, even when they sound confident and coherent. This is known as "hallucination".
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The same abilities that allow models to be useful, like generating text, also allow them to hallucinate. There is an inherent tension between accuracy and flexibility.
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Techniques exist to reduce hallucinations, like changing model architectures and temperatures, adding constraints, and clever prompting. But some hallucination persists.
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Splitting models into retriever and generator components reduces hallucinations by letting each play to its strengths.
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Even as models continue improving, completely eliminating hallucinations may limit creativity. The focus should be stopping unhelpful hallucinations.