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GENERATIVE-AI-ENGINEER-ASSOCIATE · Question #13

GENERATIVE-AI-ENGINEER-ASSOCIATE Question #13: Real Exam Question with Answer & Explanation

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Generative AI Application Development

Question

A Generative AI Engineer at an automotive company would like to build a question-answering chatbot to help customers answer specific questions about their vehicles. They have: - A catalog with hundreds of thousands of cars manufactured since the 1960s - Historical searches, with user queries and successful matches - Descriptions of their own cars in multiple languages They have already selected an open source LLM and created a test set of user queries. They need to discard techniques that will not help them build the chatbot. Which do they discard?

Options

  • ASetting chunk size to match the model's context window to maximize coverage
  • BImplementing metadata filtering based on car models and years
  • CFine-tuning an embedding model on automotive terminology
  • DAdding few-shot examples for response generation

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Topics

#RAG Architecture#RAG Optimization#Embedding Models#Prompt Engineering
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