AWS makes guardrails a standalone API as it updates Bedrock
What is the purpose of AWS's standalone Guardrails API?
The purpose of AWS's standalone Guardrails API is to provide customers with a tool to create guardrails for AI models and applications, ensuring safety, privacy, and truthfulness. This feature allows users to set limits on potentially harmful content and sensitive information, making AI applications more secure and compliant with organizational policies.
How does the Guardrails API enhance model safety and privacy?
The Guardrails API enhances model safety and privacy by providing customizable safeguards for AI applications. Users can set guardrails to control aspects like hate speech, sexualized terms, and sensitive content. Additionally, the Contextual Grounding feature checks for hallucinations, ensuring that models are not generating false information. This allows users to build more reliable and responsible AI systems, maintaining user trust and protecting privacy.
Can AWS customers integrate non-Amazon models with the Guardrails API?
Yes, AWS customers can integrate non-Amazon models with the Guardrails API. This feature allows users to apply guardrails to any AI model and application, even those not using Amazon Bedrock. The Guardrails API provides customizable safeguards for generative AI applications, ensuring safety, privacy, and truthfulness across various models.