SAFE: An LLM-as-Verifier Framework for Evidence-Grounded Multi-Hop Reasoning

This episode discusses 'SAFE,' a framework that enforces structured, verifiable AI reasoning. Instead of relying on probability, the system requires claims to be proven by context. This approach combats hallucination and provides an auditable path for every step, shifting AI from an unreliable guess to a dependable, transparent partner.

Open the full episode

More from AI Radio