From the course: AWS Certified Machine Learning Engineer - Associate (MLA-C02) Cert Prep

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Understanding fine-tuned models' scope

Understanding fine-tuned models' scope

From the course: AWS Certified Machine Learning Engineer - Associate (MLA-C02) Cert Prep

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Understanding fine-tuned models' scope

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Understanding fine-tuned model scope. What happens when pre-trained models aren't specialized enough for your needs? In this scope, you start customizing the models themselves through fine-tuning. In this video, I'll walk through fine-tuned model scope and what changes when you start training models with your business data. In this scope, your organization refines an existing third-party Generative AI Foundation model by fine-tuning it with data specific to your business, generating a new enhanced model that's specialized to your workload. Here's an example. You require a model with in-depth medical domain expertise to summarize patient records in an electronic health record system. Fine-tuning can be used to align the system's output to match the style expected by doctors and provide the system training on domain-specific terminology. Another example might be a legal firm fine-tuning a model with case law and legal documents to better understand legal terminology and generate more…

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