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Knowledge Bases for Amazon Bedrock now supports advanced parsing, chunking, and query reformulation giving greater control of accuracy in RAG based applications

AWS Machine Learning - AI

Now that you understand the concepts for semantic and hierarchical chunking, in case you want to have more flexibility, you can use a Lambda function for adding custom processing logic to chunks such as metadata processing or defining your custom logic for chunking. Make sure to create the Lambda layer for the specific open source framework.

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Medical content creation in the age of generative AI

AWS Machine Learning - AI

The solution has been designed using the following services: Amazon Elastic Container Service (ECS) : to deploy and manage our Streamlit UI. Amazon Lambda : to run the backend code, which encompasses the generative logic. In step 5, the lambda function triggers the Amazon Textract to parse and extract data from pdf documents.

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How Mixbook used generative AI to offer personalized photo book experiences

AWS Machine Learning - AI

S3, in turn, provides efficient, scalable, and secure storage for the media file objects themselves. The inference pipeline is powered by an AWS Lambda -based multi-step architecture, which maximizes cost-efficiency and elasticity by running independent image analysis steps in parallel.

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Journey to Event Driven – Part 3: The Affinity Between Events, Streams and Serverless

Confluent

Given that it is at a relatively early stage, developers are still trying to grok the best approach for each cloud vendor and often face the following question: Should I go cloud native with AWS Lambda, GCP functions, etc., The key to event-first systems design is understanding that a series of events captures behavior.

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High-performance computing on AWS

Xebia

It provides a powerful and scalable platform for executing large-scale batch jobs with minimal setup and management overhead. Integration with AWS Services: AWS Batch seamlessly integrates with other AWS services, such as Amazon S3, AWS Lambda, and Amazon DynamoDB. AWS has two services to support your HPC workload.

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AWS empowers sales teams using generative AI solution built on Amazon Bedrock

AWS Machine Learning - AI

This modular structure provides a scalable foundation for deploying a broad range of AI-powered use cases, beginning with Account Summaries. Key components include asynchronous processing to manage response times, a multi-tiered approach to handling requests, and strategic use of services like AWS Lambda and Amazon DynamoDB.

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Import a question answering fine-tuned model into Amazon Bedrock as a custom model

AWS Machine Learning - AI

Explore the Custom Model Import feature for Amazon Bedrock to deploy FMs fine-tuned for code generation tasks in a secure and scalable manner. He specializes in generative AI, artificial intelligence, machine learning, and system design. About the Authors Jay Pillai is a Principal Solutions Architect at Amazon Web Services.