C1000-185 practice question 7 of 35

You are reviewing the results of a prompt-tuning experiment where the goal was to improve an LLM's ability to summarize technical documentation. Upon inspecting the experiment results, you notice that the model has a high recall but relatively low precision. What does this likely indicate about the model’s performance, and how should you approach further tuning?

Domain Reporting and Auditing

Answer options

A: The model is overly conservative, missing relevant details; focus on improving recall.

B: The model’s summaries are incomplete, indicating poor understanding of the source material; consider fine-tuning the pre-trained embeddings.

C: The model’s length of generated summaries is too short, indicating underfitting.

D: The model is generating too many irrelevant details; focus on improving precision. Correct answer

Correct Answer:

D. The model is generating too many irrelevant details; focus on improving precision.

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