CAT 
In this post, we explore a practical, cost-effective approach for incorporating responsible AI guardrails into Amazon Bedrock Batch Inference workflows. Although we use a call center’s transcript summarization as our primary example, the methods we discuss are broadly applicable to a variety of batch inference use cases where ethical considerations and data protection are a top priority.
Originally appeared here:
Using responsible AI principles with Amazon Bedrock Batch Inference
Go Here to Read this Fast! Using responsible AI principles with Amazon Bedrock Batch Inference
