4
Customizing Models for Enhanced Performance
When general-purpose models fall short of delivering satisfactory results for your domain-specific use case, customizing FMs becomes crucial. This chapter delves into the process of customizing FMs while using techniques such as fine-tuning and continued pre-training to enhance their performance. We’ll begin by examining the rationale behind customizing the base FM and exploring the mechanics of fine-tuning. Subsequently, we will delve into data preparation techniques to ensure our data is formatted appropriately for creating a custom model using both the AWS console and APIs. We will understand various components within model customization and different customization APIs that you can call from ...
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