what is hallucination

[CipherScr1be]

what is hallucination and how to prevent it

[Sachin-NK]

In AI, hallucination refers to a model generating false or misleading information that is not based on real data. This happens when the model confidently produces incorrect or fabricated outputs.

Causes of AI Hallucinations:

• Lack of Data – The model guesses when it doesn’t have enough information.
• Overgeneralization – The model applies learned patterns in incorrect contexts.
• Bias in Training Data – Poor-quality or biased data leads to unrealistic responses.

How to Reduce Hallucinations:

• Improve training data quality.
• Use fact-checking mechanisms.
• Fine-tune models for specific domains.
• Implement human oversight for critical tasks.