A company is using supervised learning to train an AI model on a small labeled dataset that is specific to a target task. Which step of the foundation model (FM) lifecycle does this describe?

The correct answer is A. Fine-tuning. Fine-tuning is the process of training a pre-existing foundation model on a smaller, labeled dataset that is specific to a target task, allowing the model to adapt to the company's

Submitted by hans_de· Mar 30, 2026Foundation Models

Question

Options

AFine-tuning
BData selection
CPre-training
DEvaluation

How the community answered

(40 responses)

A
90% (36)
B
3% (1)
C
5% (2)
D
3% (1)

Explanation

Fine-tuning is the process of training a pre-existing foundation model on a smaller, labeled dataset that is specific to a target task, allowing the model to adapt to the company's

Topics

#Foundation Models#Model Fine-tuning#Supervised Learning#AI Model Training

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