Handling Hallucinations
Explore methods for detecting hallucinations in large language models by tracing citation mismatches and evidence breaks. Understand how to use detailed logs and structured records to debug failures, apply prompt constraints, retrieval improvements, and post-generation checks. Learn to incorporate hallucination handling into evaluation metrics to ensure faithfulness and prevent regressions in production AI systems.
We'll cover the following...
A user asks the grounded Q&A feature, What are the contract cancellation terms for plan Pro. The answer states, we can cancel anytime with a prorated refund within 30 days, and it cites Source 2. When we open Source 2, the chunk only lists billing dates and never mentions refunds.
That mismatch is a hallucination in operational terms since the output contains a claim not supported by available evidence in the retrieved context. A retrieval miss looks different because the retrieved chunks do not contain the needed fact at all, while a ...