Exam Professional Machine Learning Engineer topic 1 question 337 discussion

Actual exam question from Google's Professional Machine Learning Engineer

Question #: 337
Topic #: 1

[All Professional Machine Learning Engineer Questions]

Your company needs to generate product summaries for vendors. You evaluate a foundation model from Model Garden for text summarization and find the style of the summaries are not aligned with your company's brand voice. How should you improve this LLM-based summarization model to better meet your business objectives?

A. Replace the pre-trained model with another model in Model Garden.
B. Fine-tune the model using a company-specific dataset.
C. Increase the model's temperature parameter.
D. Tune the token output limit in the response.

Show Suggested Answer

Suggested Answer: B 🗳️

by Duke_CT at June 20, 2025, 3:53 a.m.

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qaz09

1 month ago

Selected Answer: B

B -> we feed the input with some examples which will suit our "company voice" A -> does not address issue directly C-> temperature parameter controls degree of randomness in the output (low temperature means less creative answer, high temp means more creative answer) D -> it just changes the number of characters in the output

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Duke_CT

1 month, 3 weeks ago

Selected Answer: D

Hmm, seems like A from what I studied.

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