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Enhance customer support with Amazon Bedrock Agents by integrating enterprise data APIs

AWS Machine Learning - AI

The workflow includes the following steps: Documents (owner manuals) are uploaded to an Amazon Simple Storage Service (Amazon S3) bucket. Amazon Bedrock Knowledge Bases ingests these documents: The knowledge base is configured to use the S3 bucket as a data source. The following diagram illustrates how it works.

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

AWS Machine Learning - AI

At its core, Amazon Simple Storage Service (Amazon S3) serves as the secure storage for input files, manifest files, annotation outputs, and the web UI components. Pre-annotation and post-annotation AWS Lambda functions are optional components that can enhance the workflow. On the SageMaker console, choose Create labeling job.

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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. Alternatively, you can use AWS Lambda and implement your own logic, or use open source tools such as fmeval. Instead, use an IAM role, a Lambda authorizer , or an Amazon Cognito user pool.

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Empower your generative AI application with a comprehensive custom observability solution

AWS Machine Learning - AI

Flexible logging –You can use this solution to store logs either locally or in Amazon Simple Storage Service (Amazon S3) using Amazon Data Firehose, enabling integration with existing monitoring infrastructure. Access the source code and documentation in our GitHub repository and start your integration journey.

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Enhance conversational AI with advanced routing techniques with Amazon Bedrock

AWS Machine Learning - AI

This post assesses two primary approaches for developing AI assistants: using managed services such as Agents for Amazon Bedrock , and employing open source technologies like LangChain. For direct device actions like start, stop, or reboot, we use the action-on-device action group, which invokes a Lambda function.

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9 Best Free Node.js Hosting 2023

The Crazy Programmer

is a highly popular JavaScript open-source server environment used by many developers across the world. is a most loved and well-known open-source server environment. Get 1 GB of free storage. Till now, they have published over 240 packages for open-source collaboration. At present, Node.js