Implement model-independent safety measures with Amazon Bedrock Guardrails

This article discusses how to implement safety measures for generative AI applications using Amazon Bedrock Guardrails, which can be applied independently of the foundation models (FMs) used. The key points covered are:

Specifically, the article covers:

• Overview of Amazon Bedrock Guardrails and the ApplyGuardrail API
• Using the ApplyGuardrail API with self-hosted large language models (LLMs)
• Using the ApplyGuardrail API within a self-managed Retrieval Augmented Generation (RAG) pattern
• Pricing and clean-up considerations
• Conclusion and next steps