Amazon Bedrock IDE

Amazon Bedrock IDE (preview), a governed collaborative environment integrated within Amazon SageMaker Unified Studio (preview), enables developers to swiftly build and tailor generative AI applications. It provides an intuitive interface with access to Amazon Bedrock's high-performing foundation models (FMs) and advanced customization capabilities like Knowledge Bases, Guardrails, Agents, and Flows. This secure environment empowers teams to accelerate the development of generative AI applications tailored to their requirements and responsible AI guidelines.

Amazon Bedrock IDE simplifies the development of generative AI applications by providing an effortless and accessible experience for developers across all skill levels. With its intuitive interface and streamlined workflows, developers can seamlessly collaborate on projects, leveraging Amazon Bedrock's powerful capabilities. They also gain governed access to data, accelerating the prototyping, iteration, and deployment of production-ready, generative AI apps aligned with business needs.

Developers can tailor foundation models to their requirements, data, workflows, and ethical standards. They can leverage capabilities like Retrieval Augmented Generation (RAG) to create Knowledge Bases from their proprietary data sources, ensuring model responses are tailored to their specific business needs. Additionally, they can build chat agent apps using Agents, add Guardrails for safeguarding and privacy, and leverage advanced features like prompt engineering, functions, and Flows for rapid iteration – all without delving into underlying services.

Amazon Bedrock IDE, integrated within Amazon SageMaker Unified Studio, fosters seamless collaboration across various teams, including business and technical stakeholders with varying skillsets. Users can collectively build, customize, and share generative AI applications in a secure manner, enabling trusted cross-functional collaboration. This empowers teams to work together on a wide range of generative AI applications such as company-specific content generation, workflow automation, and software development.

Amazon Bedrock IDE provides access to a wide range of high-performing FMs from leading AI companies. The generative AI playground experience simplifies model evaluation by allowing developers to compare different models and configurations. Automated model evaluation further helps users assess performance, quality, and safety metrics, enabling them to easily identify and adopt the model suited for their specific use case.

Developers can create guardrails and set content filters on both user input and model responses to help make their generative AI app generate appropriate outputs. They can customize guardrail behavior by setting filtering levels across various categories and adding denied topics, aligning their applications with responsible AI guidelines and desired outputs.