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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 100
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7 Reasons ChatGPT Alone Can’t Deliver the Customer Service You Need

CCNG

Unclear ROI ChatGPT is currently not accessible via API and the cost of a (hypythetical) API call are unclear. However while there is no publicly available data on the cost of ChatGPT, one estimate puts it in the millions of dollars per month. Its not as automated as people assume.

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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. Incoming requests to the gateway go through this point.

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Empower your generative AI application with a comprehensive custom observability solution

AWS Machine Learning

Observability empowers you to proactively monitor and analyze your generative AI applications, and evaluation helps you collect feedback, refine models, and enhance output quality. In the context of Amazon Bedrock , observability and evaluation become even more crucial.

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Introducing the Delighted Autopilot API

delighted

Delighted’s mission is to make collecting customer feedback as easy as possible. Autopilot, a tool for scheduling recurring Email and SMS surveys, has long been a key way to ensure you get a constant stream of feedback with minimal fuss. Today, we’re very excited to announce a long-waited enhancement to Autopilot, the Autopilot API.

APIs 90
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GraphStorm 0.3: Scalable, multi-task learning on graphs with user-friendly APIs

AWS Machine Learning

adds new APIs to customize GraphStorm pipelines: you now only need 12 lines of code to implement a custom node classification training loop. Based on customer feedback for the experimental APIs we released in GraphStorm 0.2, introduces refactored graph ML pipeline APIs. Specifically, GraphStorm 0.3 GraphStorm 0.3

APIs 118
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Considerations for addressing the core dimensions of responsible AI for Amazon Bedrock applications

AWS Machine Learning

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon through a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.

APIs 111