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Automate Amazon Bedrock batch inference: Building a scalable and efficient pipeline

AWS Machine Learning - AI

To address this consideration and enhance your use of batch inference, we’ve developed a scalable solution using AWS Lambda and Amazon DynamoDB. We walk you through our solution, detailing the core logic of the Lambda functions. Amazon S3 invokes the {stack_name}-create-batch-queue-{AWS-Region} Lambda function.

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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. The AWS Command Line Interface (AWS CLI) installed on your development environment.

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WordFinder app: Harnessing generative AI on AWS for aphasia communication

AWS Machine Learning - AI

David Copland, from QARC, and Scott Harding, a person living with aphasia, used AWS services to develop WordFinder, a mobile, cloud-based solution that helps individuals with aphasia increase their independence through the use of AWS generative AI technology. In this post, we showcase how Dr. Kori Ramajoo, Dr. Sonia Brownsett, Prof.

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Streamlining Workflows with Feature Branches and Logical Stacks

Xebia

Efficient collaboration and streamlined deployment processes are crucial in modern development workflows, especially for teams working on complex projects. Feature branches and stack-based development approaches offer powerful ways to isolate changes, test effectively, and ensure seamless integration.

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From Code to Cloud: AWS Lambda CI/CD with GitHub Actions

Perficient

Introduction: Integrating GitHub Actions for Continuous Integration and Continuous Deployment (CI/CD) in AWS Lambda deployments is a modern approach to automating the software development lifecycle. This integration is essential to modern DevOps practices, promoting agility and efficiency in software development.

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Multi-LLM routing strategies for generative AI applications on AWS

AWS Machine Learning - AI

Adding a new task would necessitate the development of a new UI component in addition to the selection and integration of a new model. Semantic routing offers several advantages, such as efficiency gained through fast similarity search in vector databases, and scalability to accommodate a large number of task categories and downstream LLMs.

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

AWS Machine Learning - AI

The Lambda function runs the database query against the appropriate OpenSearch Service indexes, searching for exact matches or using fuzzy matching for partial information. The Lambda function processes the OpenSearch Service results and formats them for the Amazon Bedrock agent.

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