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What is the primary purpose of fine-tuning a foundation model (FM)?

publish date: 2025/09/15 04:31:42.435408 UTC

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To make a model more general-purpose

To customize the model for a specific domain

To lower the latency

To train the model from scratch

Correct Answer

To customize the model for a specific domain

Explanation

With fine-tuning, you will change an FM's parameters based on a properietary dataset, which allows it to be more specialized for a particular domain. fine-tuning actually makes a model more specialized, and does not impact the latency.

Reference

AWS Certified AI Practitioner (AIF-C01) Study Guide, Tom Taulli

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