A company has trained a foundation model (FM) to perform a specific task. The company needs to fine-tune the FM to perform a different but related task. Which fine-tuning method will meet this…

The correct answer is C. Transfer learning. Transfer learning adapts an already trained foundation model to a new but related task by leveraging the knowledge learned from the original task, reducing training time and data requirements while improving performance.

Submitted by mateo_ar· Mar 30, 2026Design Foundational Model (FM) Solutions

Question

A company has trained a foundation model (FM) to perform a specific task. The company needs to fine-tune the FM to perform a different but related task. Which fine-tuning method will meet this requirement?

Options

AHyperparameter tuning
BPre-training
CTransfer learning
DReinforcement learning

How the community answered

(28 responses)

A
4% (1)
B
7% (2)
C
86% (24)
D
4% (1)

Explanation

Transfer learning adapts an already trained foundation model to a new but related task by leveraging the knowledge learned from the original task, reducing training time and data requirements while improving performance.

Topics

#Foundation Models#Fine-tuning#Transfer Learning#Machine Learning Concepts

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