How do you reduce LLM hallucinations in production?
Simple meaning
I ground with RAG, constrain output schemas, add citation checks, and keep humans in the loop for high risk.
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Panel-ready GenAI / LLM questions for freshers and experienced developers. Practice at Coding Cadre in Faridabad, or Online from Delhi NCR.
I ground with RAG, constrain output schemas, add citation checks, and keep humans in the loop for high risk.
Open the full page for Why, Steps, Example and Key takeaway.
Max steps, budgets, and stop conditions.
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An agent plans steps, calls tools like search or APIs, and loops until a goal is met.
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Red-team prompt suites, automated classifiers, and human review.
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Golden sets, rubric scoring, latency, cost, and regression gates in CI.
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Cache frequent prompts, trim context, pick smaller models for easy tasks, and set budgets with alerts.
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Tools for fresh data, actions, and precise math
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