AI hallucinations—where models generate confident but factually incorrect information—pose significant risks in real-world applications. Our solution addresses this with two key innovations: hallucination prevention protocols and multi-model verification.

https://fire2020.org/when-models-disagree-what-contradictions-reveal-that-a-single-ai-would-miss/

AI hallucinations—where models generate confident but factually incorrect information—pose significant risks in real-world applications. Our solution addresses this with two key innovations: hallucination prevention protocols and multi-model verification