AI Errors & Hallucinations: Debugging & Fact-Checking

Not all AI mistakes are the same. Knowing the difference can save you time, money, and headaches. This course gives you the skills to identify, debug, and prevent AI hallucinations and errors across different use cases, from natural language generation to coding assistants. We start with the fundamentals: What is an AI hallucination? How to detect fabricated facts, fake citations, and confident falsehoods. What is an AI error? How to spot faulty logic, outdated knowledge, and reproducible mistakes. Quick reality-check techniques to verify AI output before it causes harm. Best prompting st…