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. Moreover, these teams might be geographically dispersed and run their workloads in different locations and regions; many hosted on AWS, some elsewhere.

AWS 120

AWS AI AI Machine Learning 120

AWS Machine Learning Blog

APRIL 14, 2025

Beyond simple language understanding, real-world applications require managing complex workflows, connecting to external data, and coordinating multiple AI capabilities. In these real-world scenarios, agents can be a game changer, delivering more customized generative AI applications. For this post, we use the us-west-2 AWS Region.

AWS 132

AWS AI AI ML 132

AWS Machine Learning Blog

APRIL 2, 2025

Combining the resiliency of SageMaker HyperPod and the efficiency of Ray provides a powerful framework to scale up your generative AI workloads. Overview of Ray This section provides a high-level overview of the Ray tools and frameworks for AI/ML workloads. Ray manages, executes, and optimizes compute needs across AI workloads.

Clustering 119

Clustering AWS AI AI 119

AWS Machine Learning Blog

MARCH 13, 2025

The integration of generative AI agents into business processes is poised to accelerate as organizations recognize the untapped potential of these technologies. This post will discuss agentic AI driven architecture and ways of implementing. This post will discuss agentic AI driven architecture and ways of implementing.

AI 98

AI AI AWS Artificial Intelligence 98

AWS Machine Learning Blog

SEPTEMBER 6, 2024

Generative artificial intelligence (AI) can be vital for marketing because it enables the creation of personalized content and optimizes ad targeting with predictive analytics. Vidmob’s AI journey Vidmob uses AI to not only enhance its creative data capabilities, but also pioneer advancements in the field of RLHF for creativity.

AWS 127

AWS AI AI Data Scientist 127

AWS Machine Learning Blog

MAY 14, 2025

Business use case After its public release, DeepSeek-R1 model, developed by DeepSeek AI , showed impressive results across multiple evaluation benchmarks. The model follows the Mixture of Experts (MoE) architecture and has 671 billion parameters. tokenizer = AutoTokenizer.from_pretrained(model_id, use_fast=True).

Clustering 78

Clustering AWS ML ML 78

AWS Machine Learning Blog

APRIL 10, 2025

Instance failure rate To understand the typical MTBF for large-scale frontier model training, it helps to first understand instance failure rates by reviewing three noteworthy examples: When training OPT-175B on 992 A100 GPUs, Meta AI encountered significant hardware reliability challenges.

ML 117

ML ML Clustering AWS 117

AWS Machine Learning Blog

NOVEMBER 24, 2023

This is where Amazon Bedrock with its generative AI capabilities steps in to reshape the game. Unlocking the power of generative AI in retail Generative AI has captured the attention of boards and CEOs worldwide, prompting them to ask, “How can we leverage generative AI for our business?”

AWS 122

AWS Database AI AI 122

AWS Machine Learning Blog

JANUARY 10, 2024

In this post, we discuss how the AWS AI/ML team collaborated with the Merck Human Health IT MLOps team to build a solution that uses an automated workflow for ML model approval and promotion with human intervention in the middle. The inference pipeline fetches the model approved for the target environment from Parameter Store.

ML 133

ML ML AWS Machine Learning 133

Towards AI

MARCH 1, 2023

Last Updated on March 4, 2023 by Editorial Team Author(s): Towards AI Editorial Team Originally published on Towards AI. What happened this week in AI by Louis This week we were pleased to note an acceleration in progress toward open-source alternatives to ChatGPT as well as signs of increased flexibility in access to these models.

AI 98

AI AI Machine Learning Machine Learning 98

AWS Machine Learning Blog

FEBRUARY 24, 2023

AWS recently released Amazon SageMaker geospatial capabilities to provide you with satellite imagery and geospatial state-of-the-art machine learning (ML) models, reducing barriers for these types of use cases. Pass the results of the SageMaker endpoint to Amazon Augmented AI (Amazon A2I).

ML 102

ML ML AWS Data Pipeline 102

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 122

Clustering AWS ML ML 122

AWS Machine Learning Blog

NOVEMBER 17, 2023

You can deploy this solution to your AWS account using the AWS Cloud Development Kit (AWS CDK) package available in our GitHub repo. Using the AWS Management Console , you can create a recording configuration and link it to an Amazon IVS channel. In this section, we briefly introduce the system architecture.

AWS 120

AWS ML ML Algorithm 120

AWS Machine Learning Blog

MARCH 31, 2023

The key to making this approach practical is to augment human agents with scalable, AI-powered virtual agents that can address callers’ needs for at least some of the incoming calls. The contact center is powered by Amazon Connect, and Max, the virtual agent, is powered by Amazon Lex and the AWS QnABot solution.

AWS 102

AWS Natural Language Processing System Architecture Machine Learning 102

AWS Machine Learning Blog

FEBRUARY 19, 2025

Foundational models (FMs) and generative AI are transforming how financial service institutions (FSIs) operate their core business functions. AWS FSI customers, including NASDAQ, State Bank of India, and Bridgewater, have used FMs to reimagine their business operations and deliver improved outcomes. For instance: Scenario A $1.5M

AWS 92

AWS Natural Language Processing Machine Learning Machine Learning 92

AWS Machine Learning Blog

MAY 23, 2023

A recent PwC CEO survey unveiled that 84% of Canadian CEOs agree that artificial intelligence (AI) will significantly change their business within the next 5 years, making this technology more critical than ever. We finish with a case study highlighting the benefits realize by a large AWS and PwC customer who implemented this solution.

Machine Learning 102

Machine Learning Machine Learning AWS ML 102

Flipboard

DECEMBER 6, 2023

needed to address some of these challenges in one of their many AI use cases built on AWS. Amazon Bedrock Amazon Bedrock is a fully managed service that offers a choice of high-performing FMs from leading companies, including AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon.

SQL 168

SQL Database AWS Machine Learning 168

AWS Machine Learning Blog

JANUARY 30, 2023

Create a new AWS Identity and Access Management (IAM) role. Conclusion In this post, we showed you how easy to use how to use Forecast and its underlying system architecture to predict water demand using water consumption data. The steps in this post demonstrated how to build the solution on the AWS Management Console.

ML 97

ML ML AWS System Architecture 97

Pickl AI

DECEMBER 10, 2024

Summary: Oracle’s Exalytics, Exalogic, and Exadata transform enterprise IT with optimised analytics, middleware, and database systems. AI, hybrid cloud, and advanced analytics empower businesses to achieve operational excellence and drive digital transformation. Core Features Exalytics is engineered for speed and scalability.

Database 52

Database Analytics Analytics Business Intelligence 52

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 52

Database Machine Learning Machine Learning AI 52

AWS Machine Learning Blog

AUGUST 15, 2023

System complexity – The architecture complexity requires investments in MLOps to ensure the ML inference process scales efficiently to meet the growing content submission traffic. With the high accuracy of Amazon Rekognition, the team has been able to automate more decisions, save costs, and simplify their system architecture.

ML 98

ML ML AWS System Architecture 98

Flipboard

JANUARY 15, 2025

The AWS global backbone network is the critical foundation enabling reliable and secure service delivery across AWS Regions. Specifically, we need to predict how changes to one part of the AWS global backbone network might affect traffic patterns and performance across the entire system.

AWS 139

AWS Machine Learning Machine Learning System Architecture 139

AWS Machine Learning Blog

NOVEMBER 12, 2024

Agmatix is an Agtech company pioneering data-driven solutions for the agriculture industry that harnesses advanced AI technologies, including generative AI, to expedite R&D processes, enhance crop yields, and advance sustainable agriculture. This post is co-written with Etzik Bega from Agmatix.

AWS 126

AWS AI AI Data Lakes 126

AWS Machine Learning Blog

JANUARY 28, 2025

In production generative AI applications, responsiveness is just as important as the intelligence behind the model. In interactive AI applications, delayed responses can break the natural flow of conversation, diminish user engagement, and ultimately affect the adoption of AI-powered solutions.

AI 81

AI AI AWS ML 81