EDUCATION & TRAINING
Your LLM Is Only as Good as What It Retrieves
Weaviate Blog
About This Tutorial
In my research on hallucination detection in multi-agent LLM systems, the most consistent findings have not been about model size, prompt design, or inference temperature. It fills gaps with plausible-sounding content that has no grounding in fact, and it does so with the same fluency and confidence as it applies to correct outputs. The result is a failure mode that is both systematic and exceptionally difficult to detect without a dedicated evaluation infrastructure.