How to Detect and Minimise Hallucinations in AI Models | HackerNoon
Briefly

Hallucinations result from how generative systems create text, suggesting likely words based on past data. AI may provide plausible but inaccurate sentences, posing risks for businesses.
Errors in AI output can have serious consequences for businesses, like loss of trust and lawsuits. Regulations are being drafted in some countries to address the reliability and implications of AI models.
Read at Hackernoon
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