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Amazon Bedrock launches Session Management APIs for generative AI applications (Preview)

AWS Machine Learning

Amazon Bedrock announces the preview launch of Session Management APIs, a new capability that enables developers to simplify state and context management for generative AI applications built with popular open source frameworks such as LangGraph and LlamaIndex. Building generative AI applications requires more than model API calls.

APIs 124
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Build a multi-tenant generative AI environment for your enterprise on AWS

AWS Machine Learning

It also uses a number of other AWS services such as Amazon API Gateway , AWS Lambda , and Amazon SageMaker. API Gateway is serverless and hence automatically scales with traffic. API Gateway also provides a WebSocket API. As a result, building such a solution is often a significant undertaking for IT teams.

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Unlock cost savings with the new scale down to zero feature in SageMaker Inference

AWS Machine Learning

The scale down to zero feature presents new opportunities for how businesses can approach their cloud-based ML operations. We cover the key scenarios where scaling to zero is beneficial, provide best practices for optimizing scale-up time, and walk through the step-by-step process of implementing this functionality.

APIs 111
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Considerations for addressing the core dimensions of responsible AI for Amazon Bedrock applications

AWS Machine Learning

The rapid advancement of generative AI promises transformative innovation, yet it also presents significant challenges. Responsible AI is a practice of designing, developing, and operating AI systems guided by a set of dimensions with the goal to maximize benefits while minimizing potential risks and unintended harm.

APIs 114
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Secure a generative AI assistant with OWASP Top 10 mitigation

AWS Machine Learning

These steps might involve both the use of an LLM and external data sources and APIs. Agent plugin controller This component is responsible for the API integration to external data sources and APIs. The LLM agent is an orchestrator of a set of steps that might be necessary to complete the desired request.

APIs 120
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Protect sensitive data in RAG applications with Amazon Bedrock

AWS Machine Learning

For more information, see Redacting PII entities with asynchronous jobs (API). After the user is authenticated, they are logged in to the web application, where an AI assistant UI is presented to the user. The query is then forwarded using a REST API call to an Amazon API Gateway endpoint along with the access tokens in the header.

APIs 103
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Introducing multi-turn conversation with an agent node for Amazon Bedrock Flows (preview)

AWS Machine Learning

Amazon Bedrock Flows offers an intuitive visual builder and a set of APIs to seamlessly link foundation models (FMs), Amazon Bedrock features, and AWS services to build and automate user-defined generative AI workflows at scale. Present the information in a clear and engaging manner. Avoid any hallucinations or fabricated content.

APIs 133