AWS Machine Learning Blog

OCTOBER 5, 2023

In this post, we walk through how to fine-tune Llama 2 on AWS Trainium , a purpose-built accelerator for LLM training, to reduce training times and costs. We review the fine-tuning scripts provided by the AWS Neuron SDK (using NeMo Megatron-LM), the various configurations we used, and the throughput results we saw.

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Towards AI

NOVEMBER 5, 2023

Source: [link] This article describes a solution for a generative AI resume screener that got us 3rd place at DataRobot & AWS Hackathon 2023. You can also set the environment variables on the notebook instance for things like AWS access key etc. Source: author’s screenshot on AWS We used Anthropic Claude 2 in our solution.

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AWS Machine Learning Blog

NOVEMBER 29, 2023

In today’s rapidly evolving landscape of artificial intelligence, deep learning models have found themselves at the forefront of innovation, with applications spanning computer vision (CV), natural language processing (NLP), and recommendation systems. If not, refer to Using the SageMaker Python SDK before continuing.

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Flipboard

JUNE 26, 2023

These techniques utilize various machine learning (ML) based approaches. In this post, we look at how we can use AWS Glue and the AWS Lake Formation ML transform FindMatches to harmonize (deduplicate) customer data coming from different sources to get a complete customer profile to be able to provide better customer experience.

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Smart Data Collective

FEBRUARY 20, 2022

AWS (Amazon Web Services), the comprehensive and evolving cloud computing platform provided by Amazon, is comprised of infrastructure as a service (IaaS), platform as a service (PaaS) and packaged software as a service (SaaS). With its wide array of tools and convenience, AWS has already become a popular choice for many SaaS companies.

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AWS Machine Learning Blog

FEBRUARY 21, 2023

We’re thrilled to announce an expanded collaboration between AWS and Hugging Face to accelerate the training, fine-tuning, and deployment of large language and vision models used to create generative AI applications. AWS has a deep history of innovation in generative AI. Or they can self-manage on Amazon EC2.

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AWS Machine Learning Blog

OCTOBER 26, 2023

Our innovative new A-POPs (or vending machines) deliver enhanced customer experiences at ten times lower cost because of the performance and cost advantages AWS Inferentia delivers. Unlocking high-performance and cost-effective inference using AWS Inferentia As retailers look to scale operations, cost of A-POPs becomes a consideration.

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Data Science Dojo

MARCH 4, 2024

Emerging as a key player in deep learning (2010s) The decade was marked by focusing on deep learning and navigating the potential of AI. Introduction of cuDNN Library: In 2014, the company launched its cuDNN (CUDA Deep Neural Network) Library. It provided optimized codes for deep learning models.

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Data Science Dojo

NOVEMBER 15, 2023

Artificial intelligence (AI) is rapidly transforming our world, and AI conferences are a great way to stay up to date on the latest trends and developments in this exciting field. The AI Expo is a great opportunity to learn from experts from companies like AWS, IBM, etc.

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AWS Machine Learning Blog

FEBRUARY 23, 2023

Data parallelism supports popular deep learning frameworks PyTorch, PyTorch Lightening, TensorFlow, and Hugging Face Transformers. In the following figure, we provide a reference architecture to preprocess data using AWS Batch and using Ground Truth to label the datasets.

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Becoming Human

AUGUST 15, 2023

This article explains my personal experiences using 6 common methods for serving open source LLMs: AWS Sage Maker, Hugging Face… Continue reading on Becoming Human: Artificial Intelligence Magazine »

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AWS Machine Learning Blog

APRIL 5, 2024

It’s based on the same proven, highly scalable, deep learning technology developed by Amazon’s computer vision scientists to analyze billions of images and videos daily. It requires no machine learning (ML) expertise to use and we’re continually adding new computer vision features to the service. session.Session().region_name

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Towards AI

APRIL 19, 2024

Generative Artificial Intelligence is guiding the forward for businesses worldwide. Generative AI, being an excellent successor of Artificial Intelligence, has made its presence felt with ever-amazing explorations. Get a closer view of the top generative AI companies making waves in 2024.

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AWS Machine Learning Blog

MAY 2, 2024

For Recipe , choose the new aws-user-personalization-v2 recipe. About the Authors Jingwen Hu is a Senior Technical Product Manager working with AWS AI/ML on the Amazon Personalize team. He is focused on building applications that leverage artificial intelligence to solve our customers’ largest challenges.

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AWS Machine Learning Blog

DECEMBER 5, 2023

Walkthrough AWS-optimized AllGather AWS-optimized AllGather uses the following techniques to achieve better performance on AWS infrastructure compared to NCCL: We move data between instances via Elastic Fabric Adapter (EFA) network with an all-to-all communication pattern.

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AWS Machine Learning Blog

NOVEMBER 22, 2023

Amazon Elastic Compute Cloud (Amazon EC2) DL2q instances, powered by Qualcomm AI 100 Standard accelerators, can be used to cost-efficiently deploy deep learning (DL) workloads in the cloud. DL2q instances are the first instances to bring Qualcomm’s artificial intelligent (AI) technology to the cloud. About the authors A.K

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AWS Machine Learning Blog

DECEMBER 12, 2023

The launch of ChatGPT and rise in popularity of generative AI have captured the imagination of customers who are curious about how they can use this technology to create new products and services on AWS, such as enterprise chatbots, which are more conversational. Optionally, deploy the application using AWS Amplify.

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AWS Machine Learning Blog

NOVEMBER 30, 2023

Amazon SageMaker makes it straightforward to deploy machine learning (ML) models for real-time inference and offers a broad selection of ML instances spanning CPUs and accelerators such as AWS Inferentia. Venugopal Pai is a Solutions Architect at AWS. Dhawal Patel is a Principal Machine Learning Architect at AWS.

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AWS Machine Learning Blog

OCTOBER 27, 2023

Generative artificial intelligence is transforming how enterprises do business. AWS AI services, such as Amazon Personalize and Amazon Bedrock, can help recommend and deliver products, content, and compelling marketing messages personalized to your users. About the Authors Ba’Carri Johnson is a Sr. Jingwen Hu is a Sr.

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Dataconomy

APRIL 16, 2024

These chips will be implemented across Meta’s data centers to support AI applications, notably enhancing deep learning recommendation systems that boost user engagement on its platforms. ” -Meta For instance, just last week, Google Cloud launched its inaugural Arm-based CPU during the Google Cloud Next 2024 event.

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AWS Machine Learning Blog

MARCH 20, 2023

In the context of deep learning, the predominant numerical format used for research and deployment has so far been 32-bit floating point, or FP32. However, the need for reduced bandwidth and compute requirements of deep learning models has driven research into using lower-precision numerical formats.

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AWS Machine Learning Blog

NOVEMBER 16, 2023

This is a joint blog with AWS and Philips. Since 2014, the company has been offering customers its Philips HealthSuite Platform, which orchestrates dozens of AWS services that healthcare and life sciences companies use to improve patient care.

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Smart Data Collective

JANUARY 10, 2021

Artificial intelligence or AI is beginning to have a large impact on businesses of all sizes. What is Artificial Intelligence? Artificial intelligence was first used in the 1950s. It can also be referred to as machine learning, cognitive computing, or deep learning. Using Chatbots.

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AWS Machine Learning Blog

SEPTEMBER 20, 2023

For example, you might have acquired a company that was already running on a different cloud provider, or you may have a workload that generates value from unique capabilities provided by AWS. We show how you can build and train an ML model in AWS and deploy the model in another platform.

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AWS Machine Learning Blog

AUGUST 3, 2023

Computer vision (CV) is one of the most common applications of machine learning (ML) and deep learning. We demonstrate how you can combine well-known ML solutions with postprocessing to address this problem on the AWS Cloud. We use deep learning models to solve this problem.

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AWS Machine Learning Blog

APRIL 29, 2024

For AWS and Outerbounds customers, the goal is to build a differentiated machine learning and artificial intelligence (ML/AI) system and reliably improve it over time. First, the AWS Trainium accelerator provides a high-performance, cost-effective, and readily available solution for training and fine-tuning large models.

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AWS Machine Learning Blog

JANUARY 16, 2024

In the ever-evolving landscape of machine learning and artificial intelligence, Amazon SageMaker provides a comprehensive ecosystem. SageMaker empowers data scientists, developers, and organizations to develop, train, deploy, and manage machine learning models at scale. For more information, you can check this link.

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Data Science 101

FEBRUARY 7, 2020

All the large cloud providers had some announcements this past week, plus a global artificial intelligence organization had some news to share. OpenAI chooses PyTorch OpenAI, an organization aimed at helping artificial intelligence benefit all of humanity, has chosen to use PyTorch as its standard deep learning framework.

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AWS Machine Learning Blog

MARCH 8, 2023

The workflow steps are as follows: Set up a SageMaker notebook and an AWS Identity and Access Management (IAM) role with appropriate permissions to allow SageMaker to access Amazon Elastic Container Registry (Amazon ECR), Secrets Manager, and other services within your AWS account. AWS Region Link us-east-1 (N.

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Dataconomy

FEBRUARY 6, 2024

Artificial intelligence and machine learning are no longer the elements of science fiction; they’re the realities of today. When it comes to the role of AI in information technology, machine learning, with its deep learning capabilities, is the best use case.

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Mlearning.ai

JANUARY 28, 2023

From Sale Marketing Business 7 Powerful Python ML For Data Science And Machine Learning need to be use. With the growth of big data and artificial intelligence, it is important that you have the right tools to help you achieve your goals. The data-driven world will be in full swing. How Do I Use These Libraries?

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AWS Machine Learning Blog

JUNE 8, 2023

However, businesses can meet this challenge while providing personalized and efficient customer service with the advancements in generative artificial intelligence (generative AI) powered by large language models (LLMs). This enables you to begin machine learning (ML) quickly. This is your Custom Python Hook speaking!"

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ODSC - Open Data Science

FEBRUARY 17, 2023

Developing NLP tools isn’t so straightforward, and requires a lot of background knowledge in machine & deep learning, among others. Machine & Deep Learning Machine learning is the fundamental data science skillset, and deep learning is the foundation for NLP.

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AWS Machine Learning Blog

NOVEMBER 22, 2023

Yes, the AWS re:Invent season is upon us and as always, the place to be is Las Vegas! Now all you need is some guidance on generative AI and machine learning (ML) sessions to attend at this twelfth edition of re:Invent. are the sessions dedicated to AWS DeepRacer ! Generative AI is at the heart of the AWS Village this year.

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Dataconomy

JANUARY 24, 2024

In the upcoming years, Vietnam is projected to identify itself as a significant hub for artificial intelligence (AI) development. Their team of AI experts excels in creating algorithms for deep learning, predictive analytics, and automation.

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AWS Machine Learning Blog

JULY 3, 2023

It’s one of the prerequisite tasks to prepare training data to train a deep learning model. Specifically, for deep learning-based autonomous vehicle (AV) and Advanced Driver Assistance Systems (ADAS), there is a need to label complex multi-modal data from scratch, including synchronized LiDAR, RADAR, and multi-camera streams.

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AWS Machine Learning Blog

JANUARY 9, 2024

When it comes to deploying models on SageMaker endpoints, you can containerize the models using specialized AWS Deep Learning Container (DLC) images available for popular open source libraries. We then identified two approaches for deploying and inferencing Llama 2 Chat models using AWS DLCs—LMI and Hugging Face TGI.

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