Your question is Handle Hallucinations in GenAI. 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 GenAI systems, and how do embeddings/vector databases and prompt-to-embedding workflows work?
Asked in the onsite_round_2 stage. GenAI concepts portion of round 2.
Discuss the design as a practical end-to-end system. Explain how prompts become embeddings, how vector search supports retrieval-augmented generation, and how you would detect, reduce, and monitor hallucinations. Address model behavior, retrieval quality, grounding, latency, freshness, evaluation, and failure handling.