GENERATIVE-AI-ENGINEER-ASSOCIATE · Question #31
GENERATIVE-AI-ENGINEER-ASSOCIATE Question #31: Real Exam Question with Answer & Explanation
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Question
A Generative AI Engineer is creating a customer support bot that should respond differently to an end user based on the sentiment in their initial message. For example, if the end user's message was angry, the bot should try to de-escalate their negative sentiments as it solves the customer query. They want to make sure their approach follows best practices. Which approach will do this?
Options
- AUse an encoder-only LLM model to both detect sentiment and generate replies based upon the
- BImplement a RAG architecture for how to respond to users depending on detected sentiment.
- CUse linear regression model to classify sentiment and feed the result to a system prompt for the
- DCreate a chain which first uses an LLM to classify sentiment, then changes system prompt for the
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