<ul><li>Hallucinations in AI remain a persistent challenge despite advancements in the technology, leading to inaccurate outputs with real-world consequences.</li><li>AI-generated misinformation can mislead users and erode confidence in AI-driven solutions across various fields like journalism, healthcare, and legal proceedings.</li><li>Factors contributing to AI hallucinations include incomplete training data, flawed inference mechanisms, and the inherent limitations of AI reasoning.</li><li>Efforts to mitigate hallucinations in AI include techniques like Retrieval-Augmented Generation (RAG), improved model training, and external verification mechanisms to enhance accuracy, but experts emphasize the need for vigilance and fact-checking by users.</li></ul>

What are Hallucinations in AI? | VBM

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