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Answer: Input: Online chat logs; Output: Buttons that represent choices for booking details
The goal is to automatically handle common customer inquiries for restaurant bookings while minimizing human intervention and maintaining personalized interaction. Option B (Input: Online chat logs; Output: Buttons that represent choices for booking details) directly addresses this by using chat logs to generate structured booking options, reducing escalations through automation and allowing personalization via user-specific interactions. Option D (Input: Online chat logs; Output: Cancellation options) is less optimal as it focuses narrowly on cancellations, which may not cover the full scope of common inquiries like bookings or modifications, potentially leading to more escalations. Option A involves summarization, which doesn't actively handle inquiries, and Option C uses customer reviews, which are unrelated to real-time booking interactions. Community discussion shows B and D have equal support (43% each), but B is more aligned with the goal due to its broader applicability to booking details.
Author: LeetQuiz Editorial Team
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A Generative AI Engineer is developing an LLM-based solution to enhance a restaurant's online booking customer experience. The objective is to automatically manage common customer inquiries to reduce escalations to human agents and phone calls, while preserving a personalized interaction. To design this solution, the engineer must specify the LLM's input data and its corresponding task.
Which input/output pair will achieve this goal?
A
Input: Online chat logs; Output: Group the chat logs by users, followed by summarizing each user’s interactions
B
Input: Online chat logs; Output: Buttons that represent choices for booking details
C
Input: Customer reviews; Output: Classify review sentiment
D
Input: Online chat logs; Output: Cancellation options
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