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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 how to evaluate AI systems properly using EDD for developers. This session explains AI evaluation frameworks, testing methodologies, benchmarking, reliability analysis, hallucination detection, performance metrics, and best practices for building trustworthy and production-ready AI applications.
Learn why trust is critical in AI agents and how trustworthy AI systems are built for real-world applications. This session explores AI reliability, transparency, governance, safety, and best practices for creating secure and dependable AI agents in enterprise environments.
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.
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