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JANUARY 30, 2025

During this past AWS re:Invent, Amazon CEO Andy Jassy shared valuable lessons learned from Amazons own experience developing nearly 1,000 generative

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Flipboard

DECEMBER 2, 2024

It’s AWS re:Invent this week, Amazon’s annual cloud computing extravaganza in Las Vegas, and as is tradition, the company has so much to announce, it can’t fit everything into its five (!) Ahead of the show’s official opening, AWS on Monday detailed a number of updates to its overall data …

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AWS Machine Learning Blog

OCTOBER 29, 2024

This engine uses artificial intelligence (AI) and machine learning (ML) services and generative AI on AWS to extract transcripts, produce a summary, and provide a sentiment for the call. Organizations typically can’t predict their call patterns, so the solution relies on AWS serverless services to scale during busy times.

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AWS Machine Learning Blog

NOVEMBER 15, 2024

You can now use state-of-the-art model architectures, such as language models, computer vision models, and more, without having to build them from scratch. Amazon SageMaker is a comprehensive, fully managed machine learning (ML) platform that revolutionizes the entire ML workflow. Check out the Cohere on AWS GitHub repo.

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AWS Machine Learning Blog

MARCH 21, 2025

JupyterLab applications flexible and extensive interface can be used to configure and arrange machine learning (ML) workflows. AWS Lambda AWS Lambda is a compute service that runs code in response to triggers such as changes in data, changes in application state, or user actions.

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AWS Machine Learning Blog

JULY 8, 2024

As industries begin adopting processes dependent on machine learning (ML) technologies, it is critical to establish machine learning operations (MLOps) that scale to support growth and utilization of this technology. AWS CloudTrail – Monitors and records account activity across AWS infrastructure.

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Flipboard

OCTOBER 9, 2023

This lesson is the 2nd of a 3-part series on Docker for Machine Learning : Getting Started with Docker for Machine Learning Getting Used to Docker for Machine Learning (this tutorial) Lesson 3 To learn how to create a Docker Container for Machine Learning, just keep reading.

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AWS Machine Learning Blog

JANUARY 30, 2025

You can now use DeepSeek-R1 to build, experiment, and responsibly scale your generative AI ideas on AWS. Overview of DeepSeek-R1 DeepSeek-R1 is a large language model (LLM) developed by DeepSeek-AI that uses reinforcement learning to enhance reasoning capabilities through a multi-stage training process from a DeepSeek-V3-Base foundation.

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AWS Machine Learning Blog

OCTOBER 30, 2023

Amazon Bedrock is a fully managed service provided by AWS that offers developers access to foundation models (FMs) and the tools to customize them for specific applications. The workflow steps are as follows: AWS Lambda running in your private VPC subnet receives the prompt request from the generative AI application.

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AWS Machine Learning Blog

MARCH 3, 2025

These recipes include a training stack validated by Amazon Web Services (AWS) , which removes the tedious work of experimenting with different model configurations, minimizing the time it takes for iterative evaluation and testing. Alternatively, you can also use AWS Systems Manager and run a command like the following to start the session.

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Flipboard

NOVEMBER 18, 2024

Amazon Web Services(AWS) has introduced Multi-Agent Orchestrator, a framework, that offers a solution for managing multiple AI agents and handling complex conversations.

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Flipboard

NOVEMBER 18, 2024

Unleash your inner developer with AWS App Studio, the generative AI-powered application builder. Turn your idea into fully-fledged, intelligent, custom, secure, and scalable software in minutes.

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AWS Machine Learning Blog

SEPTEMBER 8, 2023

This post is co-written with Travis Bronson, and Brian L Wilkerson from Duke Energy Machine learning (ML) is transforming every industry, process, and business, but the path to success is not always straightforward. Finally, there is no labeled data available for training a supervised machine learning model.

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Flipboard

NOVEMBER 22, 2024

With the announcement of the Amplify AI kit, we learned how to build custom UI components, conversation history and add external data to the conversation flow. In this blog post, we will learn how to build a travel planner application using React Native.

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Flipboard

JANUARY 6, 2025

Amazon Web Services (AWS) re:Invent drew nearly 60,000 attendees from across the globe to Las Vegas, Nevada, December 26, 2024. The conference featured 5 keynotes, 18 innovation talks, and 1,900 sessions and hands-on labs offering immersive learning and networking opportunities.

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AWS Machine Learning Blog

SEPTEMBER 18, 2023

Machine learning (ML) is becoming increasingly complex as customers try to solve more and more challenging problems. This complexity often leads to the need for distributed ML, where multiple machines are used to train a single model. The full code can be found on the aws-samples-for-ray GitHub repository.

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AWS Machine Learning Blog

DECEMBER 6, 2024

You can try these models with SageMaker JumpStart, a machine learning (ML) hub that provides access to algorithms and models that can be deployed with one click for running inference. The model is deployed in an AWS secure environment and under your virtual private cloud (VPC) controls, helping to support data security.

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AWS Machine Learning Blog

SEPTEMBER 5, 2023

In order to improve our equipment reliability, we partnered with the Amazon Machine Learning Solutions Lab to develop a custom machine learning (ML) model capable of predicting equipment issues prior to failure. We first highlight how we use AWS Glue for highly parallel data processing. Additionally, 10.4%

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AWS Machine Learning Blog

MARCH 15, 2024

Many organizations are implementing machine learning (ML) to enhance their business decision-making through automation and the use of large distributed datasets. The need for federated learning in healthcare Healthcare relies heavily on distributed data sources to make accurate predictions and assessments about patient care.

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AWS Machine Learning Blog

APRIL 29, 2024

Close collaboration with AWS Trainium has also played a major role in making the Arcee platform extremely performant, not only accelerating model training but also reducing overall costs and enforcing compliance and data integrity in the secure AWS environment. Our cluster consisted of 16 nodes, each equipped with a trn1n.32xlarge

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AWS Machine Learning Blog

JUNE 20, 2024

AWS customers that implement secure development environments often have to restrict outbound and inbound internet traffic. Therefore, accessing AWS services without leaving the AWS network can be a secure workflow. Therefore, accessing AWS services without leaving the AWS network can be a secure workflow.

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Flipboard

NOVEMBER 27, 2023

Amazon AWS, the cloud computing giant, has been perceived as playing catch-up with its rivals Microsoft Azure and Google Cloud in the emerging and exciting field of generative AI. But this week, at its annual AWS Re:Invent conference, Amazon plans to showcase its ambitious vision for generative AI, …

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AWS Machine Learning Blog

MARCH 30, 2023

In this post, we introduce a new interactive tool called Snapper, powered by a machine learning (ML) model that reduces the effort required of annotators. About the authors Jonathan Buck is a Software Engineer at Amazon Web Services working at the intersection of machine learning and distributed systems.

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AWS Machine Learning Blog

OCTOBER 23, 2024

The solution’s scalability quickly accommodates growing data volumes and user queries thanks to AWS serverless offerings. It also uses the robust security infrastructure of AWS to maintain data privacy and regulatory compliance. Amazon API Gateway routes the incoming message to the inbound message handler, executed on AWS Lambda.

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Flipboard

DECEMBER 13, 2024

The AWS re:Invent gathering in Las Vegas last week provided several newsworthy announcements, including the cloud giants entry into the world of AI

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AWS Machine Learning Blog

SEPTEMBER 27, 2024

Architecting specific AWS Cloud solutions involves creating diagrams that show relationships and interactions between different services. Instead of building the code manually, you can use Anthropic’s Claude 3’s image analysis capabilities to generate AWS CloudFormation templates by passing an architecture diagram as input.

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AWS Machine Learning Blog

JANUARY 13, 2023

To mitigate these challenges, we propose using an open-source federated learning (FL) framework called FedML , which enables you to analyze sensitive HCLS data by training a global machine learning model from distributed data held locally at different sites. In the first post, we described FL concepts and the FedML framework.

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Flipboard

DECEMBER 5, 2024

Dive Brief: PwC is expanding its alliance with AWS in pursuit of industry-tailored generative AI applications, the two companies announced at AWS

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AWS Machine Learning Blog

MAY 1, 2024

Llama2 by Meta is an example of an LLM offered by AWS. To learn more about Llama 2 on AWS, refer to Llama 2 foundation models from Meta are now available in Amazon SageMaker JumpStart. Virginia) and US West (Oregon) AWS Regions, and most recently announced general availability in the US East (Ohio) Region.

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AWS Machine Learning Blog

DECEMBER 14, 2023

This is a customer post jointly authored by ICL and AWS employees. To overcome this business challenge, ICL decided to develop in-house capabilities to use machine learning (ML) for computer vision (CV) to automatically monitor their mining machines.

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AWS Machine Learning Blog

DECEMBER 10, 2024

You can try this model with SageMaker JumpStart, a machine learning (ML) hub that provides access to algorithms and models that can be deployed with one click for running inference. You can now use state-of-the-art model architectures, such as language models, computer vision models, and more, without having to build them from scratch.

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Flipboard

DECEMBER 3, 2024

Apple surprised everyone with its presence at AWS re:Invent 2024. During his keynote, AWS chief Matt Garman invited Benoit Dupin, Apple’s senior director of machine learning and AI, on stage to speak about how the company works with Amazon Web Services (AWS) and uses its servers to power its AI and machine learning features.

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Flipboard

DECEMBER 5, 2024

I sat down with AWS CEO Matt Garman at the company’s re:Invent conference in Las Vegas, Nevada to talk through Amazon’s AI strategy and plans for the future.

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AWS Machine Learning Blog

AUGUST 28, 2024

This post demonstrates how to seamlessly automate the deployment of an end-to-end RAG solution using Knowledge Bases for Amazon Bedrock and the AWS Cloud Development Kit (AWS CDK), enabling organizations to quickly set up a powerful question answering system. The AWS CDK already set up. txt,md,html,doc/docx,csv,xls/.xlsx,pdf).

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Flipboard

DECEMBER 3, 2024

AWS Database Migration Service Schema Conversion (DMS SC) helps you accelerate your database migration to AWS. Using DMS SC, you can assess, convert, …

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Database AWS AI AI 132

AWS Machine Learning Blog

JANUARY 31, 2025

Increasingly, FMs are completing tasks that were previously solved by supervised learning, which is a subset of machine learning (ML) that involves training algorithms using a labeled dataset. With a serverless solution, AWS provides a managed solution, facilitating lower cost of ownership and reduced complexity of maintenance.

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insideBIGDATA

JANUARY 16, 2024

In this contributed article, Stefano Soatto, Professor of Computer Science at the University of California, Los Angeles and a Vice President at Amazon Web Services, discusses generative AI models and how they are designed and trained to hallucinate, so hallucinations are a common product of any generative model.

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