Answered

Which of the following is a characteristic of a foundation model?

A. It is typically trained on a small dataset.
B. It is specialized for a specific task.
C. It is trained on a large and diverse dataset.
D. It performs well out-of-the-box without fine-tuning.



Answer :

GinnyAnswer

Final answer:

Foundation models are trained on large datasets and require fine-tuning for specific tasks.


Explanation:

A foundation model is typically trained on a large and diverse dataset, serving as a base model for various tasks. Unlike specialized models, it is versatile and requires fine-tuning for different specific tasks to maximize performance.


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