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Generative AI Scenario Based Interview Questions | Gen AI Interview Questions | MindMajix

Ace your Gen AI interview. This video covers Generative AI scenario based interview questions and answers for freshers and experienced candidates.

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πŸ‘‰ Below are the concepts we covered in this video on Top Gen AI Scenario Based Interview Questions and Answers:
00:00:00 Introduction
00:00:10 Describe how you would implement a human-in-the-loop approval step for high-risk agent actions?
00:01:32 Describe a scenario where RAG would not be effective.
00:02:18 How would you design prompts to optimize for specific outputs?
00:03:28 How do you build a cost-efficient agent that handles both simple and complex tasks?
00:04:50 How would you evaluate outputs: hallucinations, accuracy vs diversity, human eval, etc?
00:06:01 LLMs are stateful or stateless; how would you design a memory system for a local on-prem mid- to small LM?
00:07:01 Your company has built a RAG chatbot over 100,000 internal documents, but users report that it frequently hallucinates or misses relevant information. How would you debug and improve the system before considering a different LLM?
00:09:47 You are developing an AI assistant for the healthcare domain, where incorrect information could have serious consequences. What techniques would you implement to minimise hallucinations and ensure trustworthy responses?
00:10:58 You're building an AI customer support assistant that can answer FAQs, check order status, process refunds, and escalate complex cases. Would you build a single AI agent or a multi-agent system? Explain your design.
00:12:10 How would you deal with conflicting goals in multi-agent systems?
00:13:24 How do you implement persistent memory for a long-running agent?

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