Architecture Lambda 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. This architecture workflow includes the following steps: A user submits a question through a web or mobile application. 70B and 8B.
AWS Machine Learning - AI
MARCH 13, 2025
This post will discuss agentic AI driven architecture and ways of implementing. Agentic AI architecture Agentic AI architecture is a shift in process automation through autonomous agents towards the capabilities of AI, with the purpose of imitating cognitive abilities and enhancing the actions of traditional autonomous agents.
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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.
AWS Machine Learning - AI
MARCH 7, 2025
In this post, we describe the development journey of the generative AI companion for Mozart, the data, the architecture, and the evaluation of the pipeline. Data: Policy forms Mozart is designed to author policy forms like coverage and endorsements. The following diagram illustrates the solution architecture.
AWS Machine Learning - AI
JULY 3, 2024
Image 1: High-level overview of the AI-assistant and its different components Architecture The overall architecture and the main steps in the content creation process are illustrated in Image 2. The solution has been designed using the following services: Amazon Elastic Container Service (ECS) : to deploy and manage our Streamlit UI.
Confluent
FEBRUARY 27, 2019
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., What is more, as the world adopts the event-driven streaming architecture, how does it fit with serverless?
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. Instead, it provides a creative partner to enable the user’s own storytelling to imbue a book with personal flourishes.
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