What causes AI hallucinations?

How It Works:

Hallucinations occur when language models generate plausible-looking but incorrect or fabricated information, often due to overgeneralization during sampling.

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Key Benefits:

• User awareness: Recognizing hallucinations is key to safe use.
• Model debugging: Triggers investigations into training biases.
• Trust building: Mitigation improves reliability.

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Real-World Use Cases:

• Content generation: Writers fact-check AI drafts.
• Medical assistants: Clinicians verify AI-suggested diagnoses.