AI is rapidly becoming an integral part of our daily lives, driving innovations in everything from healthcare to finance. But there’s a perplexing phenomenon lurking beneath the surface: AI hallucinations.
AI systems have made strange predictions, generated fake news, insulted users, and professed their love. Given the headlines, we obviously have an emotional reaction to hallucinations. But is that really fair?
Are they just doing what they’re trained to do? And if that’s the case, how can we limit hallucination behavior?
To learn how to prevent AI hallucinations, we have to understand what they are, and how training large language models influences their behavior.
What Are AI Hallucinations?
Hallucinations are fabricated or incorrect outputs from large language models or AI-powered image recognition software. For example, you may have seen ChatGPT invent a historical event or provide a fictional biography of a real person. Or you may have used Dall-E to generate an image that includes most of the elements you asked for but adds in random new elements that you never requested.
You might’ve experienced hallucinations with AI-based translation services, too, such as translating a description of a famous cultural festival into a completely different fictional one. So, what’s driving this odd behavior?
Learn more in the full article HERE.
Launch Consulting Investigates AI Hallucinations: Causes, Risks and Prevention
