Which option is a benefit of ongoing pre-training when fine-tuning a foundation model (FM)?

The correct answer is B. Improves model performance over time. Ongoing pre-training when fine-tuning a foundation model (FM) improves model performance over time by continuously learning from new data.

Submitted by priya_blr· Mar 30, 2026Model Development

Question

Options

AHelps decrease the model's complexity
BImproves model performance over time
CDecreases the training time requirement
DOptimizes model inference time

How the community answered

(38 responses)

A
3% (1)
B
87% (33)
C
8% (3)
D
3% (1)

Explanation

Ongoing pre-training when fine-tuning a foundation model (FM) improves model performance over time by continuously learning from new data.

Topics

#fine-tuning#foundation model#pre-training#model performance

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