AI, Deep Learning and System Architecture

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System Architecture

Rad AI reduces real-time inference latency by 50% using Amazon SageMaker

AWS Machine Learning Blog

NOVEMBER 26, 2024

This post is co-written with Ken Kao and Hasan Ali Demirci from Rad AI. Rad AI has reshaped radiology reporting, developing solutions that streamline the most tedious and repetitive tasks, and saving radiologists’ time. In this post, we share how Rad AI reduced real-time inference latency by 50% using Amazon SageMaker.

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Build a dynamic, role-based AI agent using Amazon Bedrock inline agents

AWS Machine Learning Blog

FEBRUARY 13, 2025

AI agents continue to gain momentum, as businesses use the power of generative AI to reinvent customer experiences and automate complex workflows. In this post, we explore how to build an application using Amazon Bedrock inline agents, demonstrating how a single AI assistant can adapt its capabilities dynamically based on user roles.

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Webinars

How to Achieve High-Accuracy Results When Using LLMs

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Embedded AI Integration with MATLAB and Simulink

Pickl AI

NOVEMBER 12, 2024

Summary: This article discusses the integration of AI with MATLAB and Simulink, focusing on the workflow for developing embedded systems. Introduction Embedded AI is transforming the landscape of technology by enabling devices to process data and make intelligent decisions locally, without relying on cloud computing.

AI AI Deep Learning Deep Learning

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How to Achieve High-Accuracy Results When Using LLMs

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Accelerate disaster response with computer vision for satellite imagery using Amazon SageMaker and Amazon Augmented AI

AWS Machine Learning Blog

FEBRUARY 24, 2023

In this post, we describe our design and implementation of the solution, best practices, and the key components of the system architecture. Amazon Rekognition makes it easy to add image and video analysis into our applications, using proven, highly scalable, deep learning technology. Sandeep Verma is a Sr.

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Why AI Has Become the Top Developer Skill of 2023

ODSC - Open Data Science

JULY 18, 2023

With the rapid expansion of AI across industries, it’s quickly beginning to play a vital role in development across. That’s because, with AI, developers are able to automate simple yet time-consuming tasks, predict future trends, and optimize processes. This is done by AI identifying bugs and suggesting fixes.

AI AI Deep Learning Deep Learning

Google Research, 2022 & beyond: Robotics

Google Research AI blog

FEBRUARY 14, 2023

Further improvements are gained by utilizing a novel structured dynamical systems architecture and combining RL with trajectory optimization , supported by novel solvers. Closing Advances in large models across the field of AI have spurred a leap in capabilities for robot learning.

Algorithm

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Accelerate pre-training of Mistral’s Mathstral model with highly resilient clusters on Amazon SageMaker HyperPod

AWS Machine Learning Blog

SEPTEMBER 18, 2024

The compute clusters used in these scenarios are composed of more than thousands of AI accelerators such as GPUs or AWS Trainium and AWS Inferentia , custom machine learning (ML) chips designed by Amazon Web Services (AWS) to accelerate deep learning workloads in the cloud.

Clustering

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A Guide to LLMOps: Large Language Model Operations

Heartbeat

JANUARY 9, 2024

Large language models have emerged as ground-breaking technologies with revolutionary potential in the fast-developing fields of artificial intelligence (AI) and natural language processing (NLP). The way we create and manage AI-powered products is evolving because of LLMs. What is LLMOps? BERT and GPT are examples.

Natural Language Processing

Natural Language Processing Machine Learning Machine Learning Artificial Intelligence

Introducing Our New Punctuation Restoration and Truecasing Models

AssemblyAI

NOVEMBER 8, 2023

This aligns with the scaling laws observed in other areas of deep learning, such as Automatic Speech Recognition and Large Language Models research. New Models The development of our latest models for Punctuation Restoration and Truecasing marks a significant evolution from the previous system.

System Architecture

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Data Intelligence empowers informed decisions

Pickl AI

DECEMBER 4, 2023

Data Intelligence takes that data, adds a touch of AI and Machine Learning magic, and turns it into insights. Involves human input to define goals, provide initial data, and evaluate AI systems outputs. 10,00000 Deep learning, programming (e.g., Imagine this: we collect loads of data, right? These insights?

Data Analysis

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LLMOps: What It Is, Why It Matters, and How to Implement It

The MLOps Blog

MARCH 12, 2024

Large Language Models ( LLMs ) like Meta AI’s LLaMA models , MISTRAL AI’s open models , and OpenAI’s GPT series have improved language-based AI. LLMOps is key to turning LLMs into scalable, production-ready AI tools. Caption : RAG system architecture.

Database

Database Machine Learning Machine Learning AI

Innovating at speed: BMW’s generative AI solution for cloud incident analysis

AWS Machine Learning Blog

MARCH 5, 2025

In this post, we explain how BMW uses generative AI technology on AWS to help run these digital services with high availability. It requires checking many systems and teams, many of which might be failing, because theyre interdependent. It can be difficult to determine the root cause of issues in situations like this.

AWS

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Mitigating risk: AWS backbone network traffic prediction using GraphStorm

Flipboard

JANUARY 15, 2025

System architecture for GNN-based network traffic prediction In this section, we propose a system architecture for enhancing operational safety within a complex network, such as the ones we discussed earlier. He received his PhD in computer systems and architecture at the Fudan University, Shanghai, in 2014.

AWS

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Data Science Current

Rad AI reduces real-time inference latency by 50% using Amazon SageMaker

Build a dynamic, role-based AI agent using Amazon Bedrock inline agents

Webinars

Trending Sources

Embedded AI Integration with MATLAB and Simulink

Webinars

Accelerate disaster response with computer vision for satellite imagery using Amazon SageMaker and Amazon Augmented AI

Why AI Has Become the Top Developer Skill of 2023

Google Research, 2022 & beyond: Robotics

Accelerate pre-training of Mistral’s Mathstral model with highly resilient clusters on Amazon SageMaker HyperPod

A Guide to LLMOps: Large Language Model Operations

Introducing Our New Punctuation Restoration and Truecasing Models

Data Intelligence empowers informed decisions

LLMOps: What It Is, Why It Matters, and How to Implement It

Innovating at speed: BMW’s generative AI solution for cloud incident analysis

Mitigating risk: AWS backbone network traffic prediction using GraphStorm

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