AI BriefingAI Hallucination
Key point
It explains the concept and causes of hallucination, a phenomenon where AI models plausibly generate information that differs from the facts.
Details
AI Hallucination refers to the phenomenon where a large language model (LLM) plausibly generates information that differs from the facts as if it were true.
This occurs in the process of the model selecting words with high contextual probability, and the main causes include errors in training data and the limitations of probabilistic generation methods.
To address this, technologies such as RAG, which reference external knowledge, are being utilized.
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