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What are AI hallucinations and how can you prevent them? Learn how to identify and reduce false AI outputs using techniques like RAG, prompt tuning, and human review, with help from platforms like Latenode. In this deep dive, we explore the critical phenomenon of AI hallucinations, where artificial intelligence systems confidently produce false or misleading information as if it were true. We discuss the underlying causes of these inaccuracies, including poor training data, data retrieval errors, and the complexities of human language. Real-world examples illustrate the severe consequences of hallucinations, from legal missteps to brand reputation crises. As AI becomes more integrated into our daily lives and businesses, the implications of these errors cannot be ignored. We highlight proven methods for reducing AI hallucinations, from retrieval augmented generation that anchors AI outputs in verified data to better prompt engineering and the essential human review process. Join us for insights into how organizations can implement checks and balances to ensure the trustworthy use of AI technologies. Together, we can navigate the challenges posed by AI hallucinations and harness the potential of these powerful tools safely. Start using Latenode today! https://latenode.com?utm_source=youtu...