Customizing foundation models on Amazon SageMaker | Step 2: Evaluate models

Опубликовано 24 июля 2024, 15:35

In this video, you will learn how to evaluate and select the right FM for your use case using Amazon SageMaker Clarify. You can use automated and human evaluation across criteria such as factual knowledge, semantic robustness, prompt stereotyping, toxicity, accuracy, and dozens of built-in datasets. You will learn how to choose FMs with the right size to make optimal tradeoff between accuracy, latency, and cost.

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