As organizations increasingly evaluate and select foundation models (FMs), it is important to recognize that no single model fits all needs when developing generative artificial intelligence (AI) applications. This guide provides key considerations – from selecting the right model and customizing it with proprietary data to implementing robust guardrails.

Supported by customer examples, this whitepaper demonstrates how Amazon Bedrock’s fully managed service offers high-performing FMs with a broad set of capabilities needed to build generative AI with security, privacy, and responsible AI. Learn how organizations are using Amazon Bedrock to boost productivity, efficiency, and innovation.

Key points covered:

• Six foundational guidelines: including choosing the right model, integrating systems, and building AI agents.

• Customer success stories: showing how organizations accelerate development, build responsibly, and reduce costs using Amazon Bedrock.

• Fortify security and safeguard privacy: including encryptions, access control mechanisms, compliance standards, auditing capabilities, and guardrails.

Download the whitepaper to gain insights on how leading organizations are using Amazon Bedrock to build generative AI applications securely.