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