AWS Machine Learning Blog

NOVEMBER 13, 2024

Recognizing this need, we have developed a Chrome extension that harnesses the power of AWS AI and generative AI services, including Amazon Bedrock , an AWS managed service to build and scale generative AI applications with foundation models (FMs). The user signs in by entering a user name and a password.

AWS 130

AWS AI AI Natural Language Processing 130

Flipboard

NOVEMBER 22, 2024

This post is part of an ongoing series about governing the machine learning (ML) lifecycle at scale. The data mesh architecture aims to increase the return on investments in data teams, processes, and technology, ultimately driving business value through innovative analytics and ML projects across the enterprise.

Data Governance 132

Data Governance ML ML Data Lakes 132

AWS Machine Learning Blog

NOVEMBER 7, 2024

While organizations continue to discover the powerful applications of generative AI , adoption is often slowed down by team silos and bespoke workflows. To move faster, enterprises need robust operating models and a holistic approach that simplifies the generative AI lifecycle. Generative AI gateway Shared components lie in this part.

AWS 112

AWS AI AI Machine Learning 112

Analytics Vidhya

JULY 31, 2023

In an exciting collaboration, Amazon Web Services (AWS) and Accel have unveiled “ML Elevate 2023,” a revolutionary six-week accelerator program aimed at empowering startups in the generative artificial intelligence (AI) domain.

AWS 208

AWS ML ML Artificial Intelligence 208

Flipboard

JANUARY 14, 2025

With the general availability of Amazon Bedrock Agents , you can rapidly develop generative AI applications to run multi-step tasks across a myriad of enterprise systems and data sources.

AWS 152

AWS Database AI AI 152

AWS Machine Learning Blog

APRIL 29, 2025

InterVision Systems, LLC (InterVision), an AWS Premier Tier Services Partner and Amazon Connect Service Delivery Partner, has been at the forefront of this transformation, with their contact center solution designed specifically for city and county services called ConnectIV CX for Community Engagement.

AWS 101

AWS AI AI ML 101

insideBIGDATA

JUNE 22, 2023

AWS), an Amazon.com, Inc. company (NASDAQ: AMZN), today announced the AWS Generative AI Innovation Center, a new program to help customers successfully build and deploy generative artificial intelligence (AI) solutions. Amazon Web Services, Inc.

AWS 244

AWS Artificial Intelligence Artificial Intelligence Machine Learning 244

AWS Machine Learning Blog

NOVEMBER 15, 2024

With the QnABot on AWS (QnABot), integrated with Microsoft Azure Entra ID access controls, Principal launched an intelligent self-service solution rooted in generative AI. As a leader in financial services, Principal wanted to make sure all data and responses adhered to strict risk management and responsible AI guidelines.

AWS 113

AWS AI AI Machine Learning 113

AWS Machine Learning Blog

NOVEMBER 26, 2024

AWS Trainium and AWS Inferentia based instances, combined with Amazon Elastic Kubernetes Service (Amazon EKS), provide a performant and low cost framework to run LLMs efficiently in a containerized environment. Adjust the following configuration to suit your needs, such as the Amazon EKS version, cluster name, and AWS Region.

AWS 102

AWS Clustering ML ML 102

Flipboard

DECEMBER 3, 2024

Syngenta and AWS collaborated to develop Cropwise AI , an innovative solution powered by Amazon Bedrock Agents , to accelerate their sales reps’ ability to place Syngenta seed products with growers across North America. Generative AI is reshaping businesses and unlocking new opportunities across various industries.

AWS 149

AWS AI AI Machine Learning 149

Flipboard

FEBRUARY 11, 2025

In this new era of emerging AI technologies, we have the opportunity to build AI-powered assistants tailored to specific business requirements. This solution ingests and processes data from hundreds of thousands of support tickets, escalation notices, public AWS documentation, re:Post articles, and AWS blog posts.

AWS 155

AWS ML ML Machine Learning 155

AWS Machine Learning Blog

JANUARY 31, 2025

By applying AI to these digitized WSIs, researchers are working to unlock new insights and enhance current annotations workflows. The recent addition of H-optimus-0 to Amazon SageMaker JumpStart marks a significant milestone in making advanced AI capabilities accessible to healthcare organizations.

AWS 105

AWS Supervised Learning ML ML 105

AWS Machine Learning Blog

DECEMBER 24, 2024

To reduce costs while continuing to use the power of AI , many companies have shifted to fine tuning LLMs on their domain-specific data using Parameter-Efficient Fine Tuning (PEFT). Manually managing such complexity can often be counter-productive and take away valuable resources from your businesses AI development.

AWS 105

AWS Clustering Deep Learning Deep Learning 105

AWS Machine Learning Blog

OCTOBER 16, 2024

To address this, Intact turned to AI and speech-to-text technology to unlock insights from calls and improve customer service. The company developed an automated solution called Call Quality (CQ) using AI services from Amazon Web Services (AWS). It uses deep learning to convert audio to text quickly and accurately.

AWS 86

AWS AI AI Machine Learning 86

AWS Machine Learning Blog

NOVEMBER 26, 2024

The use of large language models (LLMs) and generative AI has exploded over the last year. Using vLLM on AWS Trainium and Inferentia makes it possible to host LLMs for high performance inference and scalability. xlarge instances are only available in these AWS Regions. You will use inf2.xlarge xlarge as your instance type.

AWS 102

AWS AI AI Artificial Intelligence 102

AWS Machine Learning Blog

NOVEMBER 25, 2024

8B and 70B inference support on AWS Trainium and AWS Inferentia instances in Amazon SageMaker JumpStart. Trainium and Inferentia, enabled by the AWS Neuron software development kit (SDK), offer high performance and lower the cost of deploying Meta Llama 3.1 An AWS Identity and Access Management (IAM) role to access SageMaker.

AWS 101

AWS Python ML ML 101

Flipboard

OCTOBER 25, 2023

However, with the help of AI and machine learning (ML), new software tools are now available to unearth the value of unstructured data. In this post, we discuss how AWS can help you successfully address the challenges of extracting insights from unstructured data. Let’s understand how these AWS services are integrated in detail.

AWS 167

AWS ML ML Analytics 167

Flipboard

JANUARY 24, 2025

A common use case with generative AI that we usually see customers evaluate for a production use case is a generative AI-powered assistant. If there are security risks that cant be clearly identified, then they cant be addressed, and that can halt the production deployment of the generative AI application.

AWS 160

AWS AI AI Data Warehouse 160

Flipboard

JANUARY 6, 2025

Precise), an Amazon Web Services (AWS) Partner , participated in the AWS Think Big for Small Business Program (TBSB) to expand their AWS capabilities and to grow their business in the public sector. The demand for modernization is growing, and Precise can help government agencies adopt AI/ML technologies.

AWS 65

AWS ML ML Machine Learning 65

Flipboard

NOVEMBER 19, 2024

Amazon Bedrock is a fully managed service that makes foundation models (FMs) from leading AI startups and Amazon Web Services available through an API, so you can choose from a wide range of FMs to find the model that is best suited for your use case.

AWS 152

AWS AI AI ML 152

AWS Machine Learning Blog

NOVEMBER 26, 2024

Amazon SageMaker Studio is the first integrated development environment (IDE) purposefully designed to accelerate end-to-end machine learning (ML) development. These automations can greatly decrease overhead related to ML project setup, facilitate technical consistency, and save costs related to running idle instances.

AWS 93

AWS Data Scientist ML ML 93

AWS Machine Learning Blog

OCTOBER 22, 2024

Amazon SageMaker is a cloud-based machine learning (ML) platform within the AWS ecosystem that offers developers a seamless and convenient way to build, train, and deploy ML models. By using a combination of AWS services, you can implement this feature effectively, overcoming the current limitations within SageMaker.

AWS 112

AWS ML ML Machine Learning 112

AWS Machine Learning Blog

NOVEMBER 13, 2024

In the context of generative AI , significant progress has been made in developing multimodal embedding models that can embed various data modalities—such as text, image, video, and audio data—into a shared vector space. The AWS Command Line Interface (AWS CLI) installed on your machine to upload the dataset to Amazon S3.

AWS 115

AWS Database K-nearest Neighbors AI 115

AWS Machine Learning Blog

DECEMBER 4, 2024

Businesses are under pressure to show return on investment (ROI) from AI use cases, whether predictive machine learning (ML) or generative AI. Only 54% of ML prototypes make it to production, and only 5% of generative AI use cases make it to production. Using SageMaker, you can build, train and deploy ML models.

ML 98

ML ML AWS AI 98

Flipboard

APRIL 23, 2025

National Laboratory has implemented an AI-driven document processing platform that integrates named entity recognition (NER) and large language models (LLMs) on Amazon SageMaker AI. In this post, we discuss how you can build an AI-powered document processing platform with open source NER and LLMs on SageMaker.

AWS 110

AWS ML ML AI 110

AWS Machine Learning Blog

APRIL 3, 2025

Thats why we at Amazon Web Services (AWS) are working on AI Workforcea system that uses drones and AI to make these inspections safer, faster, and more accurate. This post is the first in a three-part series exploring AI Workforce, the AWS AI-powered drone inspection system.

AWS 112

AWS AI AI ML 112

Flipboard

APRIL 23, 2025

Retrieval Augmented Generation (RAG) applications have become increasingly popular due to their ability to enhance generative AI tasks with contextually relevant information. See the OWASP Top 10 for Large Language Model Applications to learn more about the unique security risks associated with generative AI applications.

AWS 151

AWS ML ML AI 151

databricks

AUGUST 14, 2024

We are excited to announce that Graviton , the ARM-based CPU instance offered by AWS, is now supported on the Databricks ML Runtime.

Machine Learning 331

Machine Learning Machine Learning AWS ML 331

AWS Machine Learning Blog

FEBRUARY 26, 2025

These experiences are made possible by our machine learning (ML) backend engine, with ML models built for video understanding, search, recommendation, advertising, and novel visual effects. By using sophisticated ML algorithms, the platform efficiently scans billions of videos each day.

AWS 86

AWS ML ML Clustering 86

AWS Machine Learning Blog

DECEMBER 2, 2024

At re:Invent 2024, we are excited to announce new capabilities to speed up your AI inference workloads with NVIDIA accelerated computing and software offerings on Amazon SageMaker. They represent our continued commitment to delivering scalable, cost-effective, and flexible GPU-accelerated AI inference capabilities to our customers.

AWS 110

AWS AI AI Machine Learning 110

AWS Machine Learning Blog

OCTOBER 29, 2024

Refer to Supported Regions and models for batch inference for current supporting AWS Regions and models. To address this consideration and enhance your use of batch inference, we’ve developed a scalable solution using AWS Lambda and Amazon DynamoDB. Amazon S3 invokes the {stack_name}-create-batch-queue-{AWS-Region} Lambda function.

AWS 125

AWS Data Scientist AI AI 125

Flipboard

APRIL 13, 2023

The seeds of a machine learning (ML) paradigm shift have existed for decades, but with the ready availability of scalable compute capacity, a massive proliferation of data, and the rapid advancement of ML technologies, customers across industries are transforming their businesses.

AWS 182

AWS AI AI ML 182

Flipboard

APRIL 21, 2025

Evaluation plays a central role in the generative AI application lifecycle, much like in traditional machine learning. In this post, to address the aforementioned challenges, we introduce an automated evaluation framework that is deployable on AWS. In the following sections, we discuss various approaches to evaluate LLMs.

AWS 148

AWS AI AI Machine Learning 148

AWS Machine Learning Blog

APRIL 29, 2025

Generative AI is rapidly reshaping industries worldwide, empowering businesses to deliver exceptional customer experiences, streamline processes, and push innovation at an unprecedented scale. Specifically, we discuss Data Replys red teaming solution, a comprehensive blueprint to enhance AI safety and responsible AI practices.

AWS 73

AWS AI AI ML 73

AWS Machine Learning Blog

OCTOBER 29, 2024

Recently, we’ve been witnessing the rapid development and evolution of generative AI applications, with observability and evaluation emerging as critical aspects for developers, data scientists, and stakeholders. In the context of Amazon Bedrock , observability and evaluation become even more crucial.

AWS 112

AWS AI AI Data Scientist 112

Flipboard

DECEMBER 2, 2024

As the AI landscape continues to evolve and models grow even larger, innovations like Fast Model Loader become increasingly crucial. To learn more about the ModelBuilder class, refer to Package and deploy classical ML and LLMs easily with Amazon SageMaker, part 1: PySDK Improvements. In this example, you deploy the Meta Llama 3.1

AWS 143

AWS ML ML Machine Learning 143

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.

ML 109

ML ML AI AI 109