Generative AI and Language Models
Hallucinations and Reliability
Why models can produce convincing but false information.
In this lesson
Lesson goals
- Probabilistic generation
- Missing grounded sources
- Verification, retrieval, and review
Core idea
Why models can produce convincing but false information.
1. Probabilistic generation: understand it in context, identify inputs and outputs, and define how the result will be verified.
2. Missing grounded sources: understand it in context, identify inputs and outputs, and define how the result will be verified.
3. Verification, retrieval, and review: understand it in context, identify inputs and outputs, and define how the result will be verified.
Practical example
Consider a real application of “Hallucinations and Reliability.” Start small, identify available data, and compare the system with a clear baseline before expanding it.
Check your understanding
- Explain “Hallucinations and Reliability” in your own words.
- Give one appropriate and one misleading application.
- What risk or limitation should be monitored?

