These are GenAI questions of the kind Capgemini actually asks — the patterns that keep coming back in Capgemini's GenAI and AI-project interview rounds, where the focus is on applying LLMs sensibly for clients rather than research depth. My advice: treat this page as a mock interview. Say every answer out loud before revealing it — GenAI rounds are conversations, not written tests. If an answer surprises you, the lesson behind it is linked at the bottom.
Capgemini GenAI concept questions
What is prompt engineering? Name and briefly explain three techniques you actually use.
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Difference between keyword search and semantic search — and why do mature systems use both (hybrid search)?
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Name four risks of deploying GenAI in an enterprise project, each with its standard mitigation.
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Capgemini GenAI applied & hands-on questions
Write a production-quality prompt for a bot that turns raw meeting transcripts into minutes. Requirements: fixed sections (Decisions, Action Items with owner+deadline, Open Questions), no invented content, and graceful handling when a section is empty.
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How to use this page: Capgemini rarely asks a question you've never seen — they ask standard GenAI concepts and then push one level deeper ("why?", "what would you do if..."). Master the concept in the GenAI course lessons, and the follow-up stops being scary.
Keep practising: How LLMs Work, Prompting Basics, RAG and Fine-tuning vs RAG cover what most Capgemini GenAI rounds test.