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AI Hallucination

Allucinazione (AI Hallucination)

Hallucination, in the context of artificial intelligence, refers to the phenomenon where a language model generates plausible but false or invented information, presenting it with the same confidence it would present correct information. The term refers to the model's tendency to "fill in gaps" with data that doesn't exist in reality.

Definition

Common examples of hallucinations include: citing scientific articles with invented titles and authors, referencing non-existent laws or regulations, attributing statements to real people who never made them, presenting wrong math calculations as certain, or describing historical events that never happened.

Related terms

• LLM (Large Language Model)
• RAG (Retrieval Augmented Generation)
• Fine-tuning
• Inference
• Prompt Injection

More in Fondamenti AI

• LLM (Large Language Model)
• Token
• Context Window
• Temperature
• Fine-tuning
• RAG (Retrieval Augmented Generation)
• Embedding
• API

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