While we can’t eliminate hallucinations entirely, there are still things we can do to reduce the chances of hallucinations showing up in our model’s responses.

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AI hallucinations occur when generative models produce responses not grounded in facts or training data, and there is currently no known way to eliminate them entirely. The post explains why hallucinations happen — including training benchmark incentives that reward guessing over abstention, and models mixing self-generated actions with real-world observations — and outlines practical mitigation strategies: improving training data quality or using RAG for better context, managing context window length, and crafting clearer prompts that instruct the model to admit uncertainty rather than guess.

AI Crash Course: Hallucinations