GENERATIVE-AI-ENGINEER-ASSOCIATE · Question #75
A Generative AI Engineer wants to build an LLM-based solution to help a restaurant improve its online customer experience with bookings by automatically handling common customer inquiries. The goal…
The correct answer is B. Input: Online chat logs; Output: Buttons that represent choices for booking details. Option B is correct because providing structured button choices (e.g., available time slots, party size options) based on online chat logs minimizes ambiguity, reduces the need for human intervention, and guides customers through the booking process efficiently. This supports a…
Question
A Generative AI Engineer wants to build an LLM-based solution to help a restaurant improve its online customer experience with bookings by automatically handling common customer inquiries. The goal of the solution is to minimize escalations to human intervention and phone calls while maintaining a personalized interaction. To design the solution, the Generative AI Engineer needs to define the input data to the LLM and the task it should perform. Which input/output pair will support their goal?
Options
- AInput: Online chat logs; Output: Group the chat logs by users, followed by summarizing each
- BInput: Online chat logs; Output: Buttons that represent choices for booking details
- CInput: Customer reviews; Output: Classify review sentiment
- DInput: Online chat logs; Output: Cancellation options
How the community answered
(36 responses)- A3% (1)
- B94% (34)
- D3% (1)
Explanation
Option B is correct because providing structured button choices (e.g., available time slots, party size options) based on online chat logs minimizes ambiguity, reduces the need for human intervention, and guides customers through the booking process efficiently. This supports a personalized, self-service experience. Option A (summarizing/grouping logs) is analytical, not actionable for customers. Option C (sentiment classification) does not help handle bookings. Option D (cancellation options only) is too narrow and does not support the full booking workflow.
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