Document Load Balancer Serverless 
AWS Machine Learning - AI
SEPTEMBER 3, 2024
That’s where the new Amazon EMR Serverless application integration in Amazon SageMaker Studio can help. In this post, we demonstrate how to leverage the new EMR Serverless integration with SageMaker Studio to streamline your data processing and machine learning workflows.
AWS Machine Learning - AI
NOVEMBER 7, 2024
API Gateway is serverless and hence automatically scales with traffic. Load balancer – Another option is to use a load balancer that exposes an HTTPS endpoint and routes the request to the orchestrator. You can use AWS services such as Application Load Balancer to implement this approach.
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AWS Machine Learning - AI
OCTOBER 31, 2024
AWS offers powerful generative AI services , including Amazon Bedrock , which allows organizations to create tailored use cases such as AI chat-based assistants that give answers based on knowledge contained in the customers’ documents, and much more. You can also fine-tune your choice of Amazon Bedrock model to balance accuracy and speed.
AWS Machine Learning - AI
APRIL 29, 2025
Additionally, it maintains detailed audit trails and documentation of testing activities, which are critical artifacts that can be used as evidence for demonstrating compliance with standards and responding to regulatory inquiries. About the authors Cassandre Vandeputte is a Solutions Architect for AWS Public Sector based in Brussels.
Xebia
JANUARY 18, 2024
Fargate Cluster: Establishes the Elastic Container Service (ECS) in AWS, providing a scalable and serverless container execution environment. Public Application Load Balancer (ALB): Establishes an ALB, integrating the previous SSL/TLS certificate for enhanced security. The ALB serves as the entry point for our web container.
AWS Machine Learning - AI
SEPTEMBER 17, 2024
Our solution uses an FSx for ONTAP file system as the source of unstructured data and continuously populates an Amazon OpenSearch Serverless vector database with the user’s existing files and folders and associated metadata. The RAG Retrieval Lambda function stores conversation history for the user interaction in an Amazon DynamoDB table.
AWS Machine Learning - AI
MARCH 28, 2024
If you’re implementing complex RAG applications into your daily tasks, you may encounter common challenges with your RAG systems such as inaccurate retrieval, increasing size and complexity of documents, and overflow of context, which can significantly impact the quality and reliability of generated answers.
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