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Create a generative AI–powered custom Google Chat application using Amazon Bedrock

AWS Machine Learning - AI

Before processing the request, a Lambda authorizer function associated with the API Gateway authenticates the incoming message. After it’s authenticated, the request is forwarded to another Lambda function that contains our core application logic. This request contains the user’s message and relevant metadata.

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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. The Lambda function runs the database query against the appropriate OpenSearch Service indexes, searching for exact matches or using fuzzy matching for partial information.

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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.

Video 94
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Accelerate AWS Well-Architected reviews with Generative AI

AWS Machine Learning - AI

Scalable architecture Uses AWS services like AWS Lambda and Amazon Simple Queue Service (Amazon SQS) for efficient processing of multiple reviews. The workflow consists of the following steps: WAFR guidance documents are uploaded to a bucket in Amazon Simple Storage Service (Amazon S3).

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Accelerate IaC troubleshooting with Amazon Bedrock Agents

AWS Machine Learning - AI

Error retrieval and context gathering The Amazon Bedrock agent forwards these details to an action group that invokes the first AWS Lambda function (see the following Lambda function code ). This contextual information is then sent back to the first Lambda function. Provide the troubleshooting steps to the user.

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Automate invoice processing with Streamlit and Amazon Bedrock

AWS Machine Learning - AI

The storage layer uses Amazon Simple Storage Service (Amazon S3) to hold the invoices that business users upload. You can trigger the processing of these invoices using the AWS CLI or automate the process with an Amazon EventBridge rule or AWS Lambda trigger. Importantly, your document and data are not stored after processing.

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How Infosys improved accessibility for Event Knowledge using Amazon Nova Pro, Amazon Bedrock and Amazon Elemental Media Services

AWS Machine Learning - AI

The following screenshot shows a brief demo based on a fictitious scenario to illustrate Event AIs real-time streaming capability. MediaLive also extracts the audio-only output and stores it in an Amazon Simple Storage Service (Amazon S3) bucket, facilitating a subsequent postprocessing workflow.

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