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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. Note that in this solution, all of the storage is in the UI.

eCommerce 109
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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.

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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.

Metrics 88
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Grown-Up Lean

LeanEssays

Based on the answer to these questions, Amazon introduced a service called Lambda in 2014 that responds to events quickly and inexpensively. Lambda replaced the need for customers to pay for servers sitting around listening for events to occur – reducing the cost (and Amazon’s revenue) for event-driven systems by a factor of 5 to 10 (!).

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

AWS Machine Learning - AI

Their data pipeline (as shown in the following architecture diagram) consists of ingestion, storage, ETL (extract, transform, and load), and a data governance layer. Multi-source data is initially received and stored in an Amazon Simple Storage Service (Amazon S3) data lake. AWS Lambda is then used to further enrich the data.