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Build a video insights and summarization engine using generative AI with Amazon Bedrock

AWS Machine Learning - AI

In contrast, our solution is an open-source project powered by Amazon Bedrock , offering a cost-effective alternative without those limitations. AWS Lambda is an event-driven compute service that lets you run code for virtually any type of application or backend service without provisioning or managing servers.

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Creating asynchronous AI agents with Amazon Bedrock

AWS Machine Learning - AI

This post will discuss agentic AI driven architecture and ways of implementing. Agentic AI architecture Agentic AI architecture is a shift in process automation through autonomous agents towards the capabilities of AI, with the purpose of imitating cognitive abilities and enhancing the actions of traditional autonomous agents.

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

AWS Machine Learning - AI

It also uses a number of other AWS services such as Amazon API Gateway , AWS Lambda , and Amazon SageMaker. You can also bring your own customized models and deploy them to Amazon Bedrock for supported architectures. Alternatively, you can use AWS Lambda and implement your own logic, or use open source tools such as fmeval.

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Harness the power of MCP servers with Amazon Bedrock Agents

AWS Machine Learning - AI

Model Context Protocol Developed by Anthropic as an open protocol, MCP provides a standardized way to connect AI models to virtually any data source or tool. Through this architecture, MCP enables users to build more powerful, context-aware AI agents that can seamlessly access the information and tools they need.

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Introducing AWS MCP Servers for code assistants (Part 1)

AWS Machine Learning - AI

Were excited to announce the open source release of AWS MCP Servers for code assistants a suite of specialized Model Context Protocol (MCP) servers that bring Amazon Web Services (AWS) best practices directly to your development workflow. I also want to add a tool for the chatbot to call our internal API.

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Empower your generative AI application with a comprehensive custom observability solution

AWS Machine Learning - AI

The CloudFormation template provisions resources such as Amazon Data Firehose delivery streams, AWS Lambda functions, Amazon S3 buckets, and AWS Glue crawlers and databases. Access the source code and documentation in our GitHub repository and start your integration journey. versions, catering to different programming preferences.

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Enhance speech synthesis and video generation models with RLHF using audio and video segmentation in Amazon SageMaker

AWS Machine Learning - AI

The following diagram illustrates the solution architecture. Pre-annotation and post-annotation AWS Lambda functions are optional components that can enhance the workflow. The pre-annotation Lambda function can process the input manifest file before data is presented to annotators, enabling any necessary formatting or modifications.

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