课程: Responsible AI on AWS: Bedrock Guardrails, Amazon Q Security, and SageMaker Clarify

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Responsible AI with SageMaker Clarify

Responsible AI with SageMaker Clarify

课程: Responsible AI on AWS: Bedrock Guardrails, Amazon Q Security, and SageMaker Clarify

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Responsible AI with SageMaker Clarify

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- [Instructor] The SageMaker Clarify Enterprise Suite represents a comprehensive solution for responsible AI development and deployment. This integrated platform combines advanced bias detection, model explainability, and also continuous monitoring capabilities within a single seamless ecosystem. Like a control tower for AI ethics, it oversees every stage of the machine learning cycle, includes components for transparency, also for fairness and accountability in the AI system. So first, let's take a look at the data processing hub here, and this is the central nervous system of the platform. It handles all of the incoming data streams. We also have CSV adjacent processing engine that integrates structured and semi-structured data, and it supports different file formats and encoding types. The feature engineering pipeline is going to automatically transform this raw data into ML-ready features. So this is really feature extraction here, and it applies things like standardization…

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