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DESCRIPTION:AI systems that sound confident can still be wrong. Managing AI Hallucinations gives you a structured,
code-driven approach to identifying, preventing, and verifying unreliable LLM output before errors reach users or decisions.
Written by Arkadiusz Włodarczyk, a programming instructor and course creator with 20+ years of experience,
the book works through real code examples and walkthroughs.
You will learn why language models produce fabricated facts, false references, and overconfident code.
You will reduce hallucinations through system instructions, constraints,
and few-shot prompting, and ground responses in trusted sources using RAG, vector databases, and NotebookLM.
Cross-model comparison, source checks, and self-consistency prompting give you repeatable ways to evaluate claims.
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