GENERATIVE-AI-ENGINEER-ASSOCIATE · Question #34
A Generative AI Engineer is working with a retail company that wants to enhance its customer experience by automatically handling common customer inquiries. They are working on an LLM- powered AI…
The correct answer is B. Input: Customer service chat logs; Output: Find the answers to similar questions and respond. Chosen option is the best approach because it uses customer service chat logs as input to find relevant answers to common inquiries based on past interactions. The LLM can identify patterns and similar queries from previous conversations, allowing it to generate a more…
Question
A Generative AI Engineer is working with a retail company that wants to enhance its customer experience by automatically handling common customer inquiries. They are working on an LLM- powered AI solution that should improve response times while maintaining a personalized interaction. They want to define the appropriate input and LLM task to do this. Which input/output pair will do this?
Options
- AInput: Customer service chat logs; Output: Group the chat logs by users, followed by summarizing
- BInput: Customer service chat logs; Output: Find the answers to similar questions and respond
- CInput: Customer reviews; Output: Classify review sentiment
- DInput: Customer reviews; Output: Group the reviews by users and aggregate per-user average
How the community answered
(43 responses)- A2% (1)
- B81% (35)
- C5% (2)
- D12% (5)
Explanation
Chosen option is the best approach because it uses customer service chat logs as input to find relevant answers to common inquiries based on past interactions. The LLM can identify patterns and similar queries from previous conversations, allowing it to generate a more accurate, context- aware, and personalized response, thus improving response times and customer experience.
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