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Exam Certified Generative AI Engineer Associate All Questions

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Exam Certified Generative AI Engineer Associate topic 1 question 27 discussion

Actual exam question from Databricks's Certified Generative AI Engineer Associate
Question #: 27
Topic #: 1
[All Certified Generative AI Engineer Associate Questions]

What is an effective method to preprocess prompts using custom code before sending them to an LLM?

  • A. Directly modify the LLM’s internal architecture to include preprocessing steps
  • B. It is better not to introduce custom code to preprocess prompts as the LLM has not been trained with examples of the preprocessed prompts
  • C. Rather than preprocessing prompts, it’s more effective to postprocess the LLM outputs to align the outputs to desired outcomes
  • D. Write a MLflow PyFunc model that has a separate function to process the prompts
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Suggested Answer: D 🗳️
by trendy01 at Oct. 26, 2024, 5:41 a.m.

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trendy01
5 months, 3 weeks ago
Selected Answer: D
D appears to be the most appropriate choice. By writing MLflow PyFunc models and having a separate function to handle prompts, you can perform preprocessing more systematically and flexibly. This is a way to improve performance by providing optimized prompts for LLM.
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