Your question is Mitigate LLM 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).
You are working with a language model that sometimes produces confident but incorrect answers. Your team wants a practical way to reduce those hallucinations without retraining the model. You have access to a small set of high-quality examples and can change the prompt format.
How do you handle hallucination in an LLM, and what specific few-shot techniques would you apply to mitigate it?