Remove Lambda Remove Machine Learning Remove System Architecture
article thumbnail

Build an AI-powered document processing platform with open source NER model and LLM on Amazon SageMaker

AWS Machine Learning - AI

Rather than maintaining constantly running endpoints, the system creates them on demand when document processing begins and automatically stops them upon completion. The decoupled nature of the endpoints also provides flexibility to update or replace individual models without impacting the broader system architecture.

article thumbnail

Creating asynchronous AI agents with Amazon Bedrock

AWS Machine Learning - AI

Agent broker methodology Following an agent broker pattern, the system is still fundamentally event-driven, with actions triggered by the arrival of messages. New agents can be added to handle specific types of messages without changing the overall system architecture.

article thumbnail

Automating product description generation with Amazon Bedrock

AWS Machine Learning - AI

The system architecture comprises several core components: UI portal – This is the user interface (UI) designed for vendors to upload product images. AWS Lambda – AWS Lambda provides serverless compute for processing. Amazon API Gateway passes the request to AWS Lambda through a proxy integration.

eCommerce 115
article thumbnail

How Vidmob is using generative AI to transform its creative data landscape

AWS Machine Learning - AI

Understanding the intrinsic value of data network effects, Vidmob constructed a product and operational system architecture designed to be the industry’s most comprehensive RLHF solution for marketing creatives. Dynamo DB stores the query and the session ID, which is then passed to a Lambda function as a DynamoDB event notification.

article thumbnail

Observe Everything

Cloudera

Over the past handful of years, systems architecture has evolved from monolithic approaches to applications and platforms that leverage containers, schedulers, lambda functions, and more across heterogeneous infrastructures. To do so, the platform provides a range of analytics across the complete data life cycle.

Metrics 88
article thumbnail

Official Intelligence

LeanEssays

But consider the Amazon team that came up with Lambda. Some customers report up to an order of magnitude reduction in cost when they switch to Lambda. Yet the Lambda team did not have to answer the sobering question: “Do you know how much revenue Lambda might cannibalize?” You could feel the tail wind.

article thumbnail

Generative AI for agriculture: How Agmatix is improving agriculture with Amazon Bedrock

AWS Machine Learning - AI

There are various technologies that help operationalize and optimize the process of field trials, including data management and analytics, IoT, remote sensing, robotics, machine learning (ML), and now generative AI. AWS Lambda is then used to further enrich the data. The transformed data acts as the input to AI/ML services.