Your question is Handling Hallucinations. Take a moment with it on the right.
Talk me through your thinking if you like. When you're confident, submit your answer and I'll grade it like a real screen (7/10 or better passes).
How do you handle hallucinations in LLM-based applications?
Explain a practical machine learning approach for detecting and reducing unsupported LLM claims. Cover data preparation, model or architecture choice, grounding, confidence thresholds, evaluation, monitoring, and fallback behavior. Assume the application has user queries, retrieved context, generated answers, and human labels indicating whether each answer is supported by the available evidence.
