Lambda Machine Learning System Design 
AWS Machine Learning - AI
APRIL 9, 2025
For instance, consider an AI-driven legal document analysis system designed for businesses of varying sizes, offering two primary subscription tiers: Basic and Pro. Based on the classifier LLMs decision, the Lambda function routes the question to the appropriate downstream LLM, which will generate an answer and return it to the user.
AWS Machine Learning - AI
NOVEMBER 19, 2024
Solution overview This section outlines the architecture designed for an email support system using generative AI. High Level System Design The solution consists of the following components: Email service – This component manages incoming and outgoing customer emails, serving as the primary interface for email communications.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
AWS Machine Learning - AI
MARCH 13, 2025
Much like traditional business process automation through technology, the agentic AI architecture is the design of AI systems designed to resolve complex problems with limited or indirect human intervention. Agent broker architecture Messages sent to EventBridge are routed through an EventBridge rule to Lambda.
AWS Machine Learning - AI
JULY 3, 2024
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.
AWS Machine Learning - AI
JULY 10, 2024
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.
AWS Machine Learning - AI
JULY 15, 2024
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. He draws on over a decade of hands-on experience in web development, system design, and data engineering to drive elegant solutions for complex problems.
AWS Machine Learning - AI
MARCH 5, 2025
At a high level, the AWS Step Functions pipeline accepts source data in Amazon Simple Storage Service (Amazon S3) , and orchestrates AWS Lambda functions for ingestion, chunking, and prompting on Amazon Bedrock to generate the fact-wise JSONLines ground truth.
Expert insights. Personalized for you.
115 
Let's personalize your content