Answer-first summary for fast verification
Answer: Prepare a dataset consisting of customer feedback examples and fine-tune the model on this dataset.
To optimize the performance of an Azure OpenAI model for generating automated responses in a customer feedback system, preparing a dataset consisting of customer feedback examples (B) and fine-tuning the model on this dataset is the most effective approach. This allows the model to learn the specific language, terminology, and patterns relevant to customer feedback. Using a generic dataset (A) may not provide the necessary domain-specific knowledge. Implementing a sentiment analysis system (C) can be helpful for understanding the sentiment of feedback but does not directly address the need for generating appropriate responses. Limiting the model's responses to a predefined set of common issues (D) may restrict its ability to handle a wide range of customer feedback.
Author: LeetQuiz Editorial Team
Ultimate access to all questions.
No comments yet.
As an AI engineer, you are working on a project to generate automated responses for a customer feedback system using an Azure OpenAI model. The model should be able to understand customer feedback and generate appropriate responses. Which of the following steps should you take to ensure the model's performance is optimized for this task?
A
Use a generic dataset for fine-tuning to ensure the model can handle a wide range of topics.
B
Prepare a dataset consisting of customer feedback examples and fine-tune the model on this dataset.
C
Implement a sentiment analysis system to determine the sentiment of customer feedback before generating responses.
D
Limit the model's responses to a predefined set of common customer feedback issues.