A company needs to choose a model from Amazon Bedrock to use internally. The company must identify a model that generates responses in a style that the company's employees prefer. What should the company do to meet these requirements?
A.
Evaluate the models by using built-in prompt datasets.
B.
Evaluate the models by using a human workforce and custom prompt datasets.
C.
Use public model leaderboards to identify the model.
D.
Use the model InvocationLatency runtime metrics in Amazon CloudWatch when trying models.
B: Evaluate the models by using a human workforce and custom prompt datasets.
Explanation:
To determine which model generates responses in the style that the company's employees prefer, the company should evaluate the models using custom prompt datasets relevant to their specific use cases. Additionally, involving a human workforce ensures subjective aspects, like tone, style, and alignment with employee preferences, are effectively assessed.
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