Optimize AI creation in Amazon Bedrock with Prompt Control and Prompt Pathways (preview) | AWS Machine Learning Blog

Introducing New Features for Amazon Bedrock

Today, we’re excited to introduce two powerful new features for Amazon Bedrock: Prompt Management and Prompt Flows, in public preview. These features are designed to accelerate the development, testing, and deployment of generative artificial intelligence (AI) applications, enabling developers and business users to create more efficient and effective solutions that are easier to maintain.

The Lifecycle of Developing Effective Prompts

Developing effective prompts for generative AI applications is an iterative process that requires careful design, testing, and refinement. Understanding this lifecycle is crucial for creating high-quality, reliable AI-powered solutions. Let’s explore the key stages of a typical prompting lifecycle.

Prompt Chaining and Prompt Routing

For more complex generative AI applications, developers often employ patterns such as prompt chaining or prompt routing. These approaches allow for the definition of more sophisticated logic and dynamic workflows, often called prompt flows.

New Features: Prompt Management and Prompt Flows

The Prompt Management feature streamlines the creation, evaluation, deployment, and sharing of prompts, while the Flows feature introduces a visual builder that simplifies the creation of complex generative AI workflows.

Octank Case Study

To illustrate the power of these new features, let’s consider Octank, a fictional large ecommerce company facing challenges to efficiently create, test, and deploy AI-powered customer service chatbots for different product categories.

Benefits and Implementation Steps

Using prompt management and flows in Amazon Bedrock, Octank’s development and prompt engineering teams can now accomplish significant improvements in development time, chatbot response quality, and performance consistency.

Conclusion

The new Prompt Management and Flows features in Amazon Bedrock represent a significant leap forward in generative AI development. By streamlining workflow creation, prompt management, and team collaboration, these tools enable faster time-to-market and higher-quality AI-powered solutions.


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