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AWS achieves ISO/IEC 42001:2023 Artificial Intelligence Management System accredited certification

AWS Machine Learning Blog

Amazon Web Services (AWS) is excited to be the first major cloud service provider to announce ISO/IEC 42001 accredited certification for AI services, covering: Amazon Bedrock , Amazon Q Business , Amazon Textract , and Amazon Transcribe. Responsible AI is a long-standing commitment at AWS. This is why ISO 42001 is important to us.

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Racing into the future: How AWS DeepRacer fueled my AI and ML journey

AWS Machine Learning Blog

In 2018, I sat in the audience at AWS re:Invent as Andy Jassy announced AWS DeepRacer —a fully autonomous 1/18th scale race car driven by reinforcement learning. But AWS DeepRacer instantly captured my interest with its promise that even inexperienced developers could get involved in AI and ML.

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AWS doubles investment in AWS Generative AI Innovation Center, marking two years of customer success

AWS Machine Learning Blog

When we launched the AWS Generative AI Innovation Center in 2023, we had one clear goal: help customers turn AI potential into real business value. To help more customers, we also launched the AWS Generative AI Partner Innovation Alliance , a carefully selected global network of systems integrators and consulting firms. “Two

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PEFT fine tuning of Llama 3 on SageMaker HyperPod with AWS Trainium

AWS Machine Learning Blog

To simplify infrastructure setup and accelerate distributed training, AWS introduced Amazon SageMaker HyperPod in late 2023. In this blog post, we showcase how you can perform efficient supervised fine tuning for a Meta Llama 3 model using PEFT on AWS Trainium with SageMaker HyperPod. architectures/5.sagemaker-hyperpod/LifecycleScripts/base-config/

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Orchestrate generative AI workflows with Amazon Bedrock and AWS Step Functions

AWS Machine Learning Blog

This post discusses how to use AWS Step Functions to efficiently coordinate multi-step generative AI workflows, such as parallelizing API calls to Amazon Bedrock to quickly gather answers to lists of submitted questions. Tuning these parameters can help limit the length or influence the randomness or diversity of the model’s response.

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How to Work Smarter, Not Harder, with Artificial Intelligence

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As artificial intelligence (AI) continues to transform industries—from healthcare and finance to entertainment and education—the demand for professionals who understand its inner workings is skyrocketing. By prioritizing ethical practices, you contribute to the creation of fair, transparent, and trustworthy AI solutions.

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AWS machine learning supports Scuderia Ferrari HP pit stop analysis

AWS Machine Learning Blog

In this post, we share how Amazon Web Services (AWS) is helping Scuderia Ferrari HP develop more accurate pit stop analysis techniques using machine learning (ML). Since implementing the solution with AWS, track operations engineers can synchronize the data up to 80% faster than manual methods.

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