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Learn what AI hallucinations are and why AI systems sometimes generate incorrect or misleading information. In this session, Dr. Bharat Rawal explains the causes of AI hallucinations, risks in enterprise AI systems, and practical strategies for building more reliable and trustworthy AI applications.
Learn what AI hallucinations are and why AI systems sometimes generate false or misleading information. In this session, Maria Piterberg explains the causes of AI hallucinations, real-world risks, and practical strategies for improving AI reliability and trust in modern applications.
AI models, especially those used for image classification, face performance degradation—also known as model drift—when deployed in real-world environments. Accuracy can decline by up to 15% within just three months, leading to major operational and economic setbacks.
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