September 2026
98 pages
2h 20m
English
Content preview from Managing AI Hallucinations
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1
Understanding AI Hallucinations
A large language model (LLM) produces text that is often clear, fluent, and convincing. This combination makes them valuable for writing, coding, summarizing information, and answering questions. It also makes them easy to trust. However, a convincing answer is not always a correct one. An LLM does not retrieve facts or verify information before responding. Instead, it generates each word by predicting what is most likely to come next based on patterns learned during training. When those predictions are wrong, the model can produce information that is inaccurate, fabricated, or misleading while presenting it with complete confidence.
In this chapter, you will learn how LLMs generate text, why hallucinations ...
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