Phase 18 · Evaluation, Safety & Responsible AI
TopicsHallucination Detection & Mitigation
Part of the AI Engineer Roadmap.
Summary
Techniques for catching and reducing a model confidently stating false information — including grounding in retrieved sources, self-consistency checks, and citation requirements.
How to Learn This
- 1Build a simple fact-check step that cross-references model claims against retrieved sources.
- 2Compare hallucination rates with and without RAG grounding on the same questions.
- 3Learn why no current technique eliminates hallucination completely — only reduces its rate.
More topics in Evaluation, Safety & Responsible AI
Stuck on this topic? Ask an Insider
Get 1:1 guidance from people who've walked this exact path — free on the InsideEdge app.