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Question 280 - Professional Machine Learning Engineer discussion

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Your company needs to generate product summaries for vendors. You evaluated a foundation model from Model Garden for text summarization but found that the summaries do not align with your company's brand voice. How should you improve this LLM-based summarization model to better meet your business objectives?

A.

Increase the model's temperature parameter.

Answers
A.

Increase the model's temperature parameter.

B.

Fine-tune the model using a company-specific dataset.

Answers
B.

Fine-tune the model using a company-specific dataset.

C.

Tune the token output limit in the response.

Answers
C.

Tune the token output limit in the response.

D.

Replace the pre-trained model with another model in Model Garden.

Answers
D.

Replace the pre-trained model with another model in Model Garden.

Suggested answer: B

Explanation:

Fine-tuning the model with a company-specific dataset aligns the model outputs with the brand voice, making it better suited for the company's objectives. Adjusting the temperature (Option A) affects randomness rather than content style, and changing token limits (Option C) does not impact tone. Replacing the model (Option D) is inefficient without guarantees of better alignment.

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asked 07/11/2024
Rocco Cristofaro
45 questions
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