Remove Machine Learning Remove Scalability 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

Designed with a serverless, cost-optimized architecture, the platform provisions SageMaker endpoints dynamically, providing efficient resource utilization while maintaining scalability. Serverless on AWS AWS GovCloud (US) Generative AI on AWS About the Authors Nick Biso is a Machine Learning Engineer at AWS Professional Services.

article thumbnail

Beyond AI: Building toward artificial consciousness – Part 2

CIO

This configuration ensures a resilient and scalable infrastructure, capable of meeting the computational workload demands of real-time processing and decision-making but also providing the flexibility to adapt to evolving environments and more complex tasks.

article thumbnail

Foundation Model for Personalized Recommendation

Netflix Tech

By Ko-Jen Hsiao , Yesu Feng and Sudarshan Lamkhede Motivation Netflixs personalized recommender system is a complex system, boasting a variety of specialized machine learned models each catering to distinct needs including Continue Watching and Todays Top Picks for You. Refer to our recent overview for more details).

article thumbnail

Creating asynchronous AI agents with Amazon Bedrock

AWS Machine Learning - AI

Conversely, asynchronous event-driven systems offer greater flexibility and scalability through their distributed nature. By allowing agents to operate independently and react to events in real-time, these systems can handle dynamic scenarios and adapt to changing requirements more readily.

article thumbnail

Building a Beautiful Data Lakehouse

CIO

Newer data lakes are highly scalable and can ingest structured and semi-structured data along with unstructured data like text, images, video, and audio. They conveniently store data in a flat architecture that can be queried in aggregate and offer the speed and lower cost required for big data analytics.

Data 178
article thumbnail

Building a Media Understanding Platform for ML Innovations

Netflix Tech

By Guru Tahasildar , Amir Ziai , Jonathan Solórzano-Hamilton , Kelli Griggs , Vi Iyengar Introduction Netflix leverages machine learning to create the best media for our members. Specifically, we will dive into the architecture that powers search capabilities for studio applications at Netflix.

Media 119
article thumbnail

Understanding Retrieval-Augmented Generation (RAG) on Google Cloud Platform (GCP)

Xebia

Scalability: GCP tools offer a cohesive platform to build, manage, and scale RAG systems. Managed Approach – Use integrated services like Vertex AI Search, which handles retrieval and answer generation, simplifying system architecture. It plays a pivotal role in embedding creation and vector search in RAG systems.