Julien Simon

FEBRUARY 28, 2024

Video — Deep dive: Compiling deep learning models, from XLA to PyTorch 2 Compilation is an excellent technique to accelerate the training and inference of deep learning models, especially if it can be completely automated!

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Flipboard

JUNE 20, 2023

There are several ways AWS is enabling ML practitioners to lower the environmental impact of their workloads. Inferentia and Trainium are AWS’s recent addition to its portfolio of purpose-built accelerators specifically designed by Amazon’s Annapurna Labs for ML inference and training workloads. times higher inference throughput.

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AWS Machine Learning Blog

APRIL 16, 2024

It employs advanced deep learning technologies to understand user input, enabling developers to create chatbots, virtual assistants, and other applications that can interact with users in natural language. Version control – With AWS CloudFormation, you can use version control systems like Git to manage your CloudFormation templates.

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AWS Machine Learning Blog

DECEMBER 12, 2023

In this post, we’ll summarize training procedure of GPT NeoX on AWS Trainium , a purpose-built machine learning (ML) accelerator optimized for deep learning training. M tokens/$) trained such models with AWS Trainium without losing any model quality. We’ll outline how we cost-effectively (3.2 billion in Pythia.

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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

FEBRUARY 1, 2023

Recent developments in deep learning have led to increasingly large models such as GPT-3, BLOOM, and OPT, some of which are already in excess of 100 billion parameters. Many enterprise customers choose to deploy their deep learning workloads using Kubernetes—the de facto standard for container orchestration in the cloud.

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AWS Machine Learning Blog

NOVEMBER 8, 2023

AWS and NVIDIA have come together to make this vision a reality. AWS, NVIDIA, and other partners build applications and solutions to make healthcare more accessible, affordable, and efficient by accelerating cloud connectivity of enterprise imaging. AHI provides API access to ImageSet metadata and ImageFrames.

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AWS Machine Learning Blog

MAY 3, 2023

AWS, Arm, Meta and others helped optimize the performance of PyTorch 2.0 As a result, we are delighted to announce that AWS Graviton-based instance inference performance for PyTorch 2.0 times the speed for BERT, making Graviton-based instances the fastest compute optimized instances on AWS for these models. is up to 3.5

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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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AWS Machine Learning Blog

MAY 31, 2024

In this blog post and open source project , we show you how you can pre-train a genomics language model, HyenaDNA , using your genomic data in the AWS Cloud. Amazon SageMaker Amazon SageMaker is a fully managed ML service offered by AWS, designed to reduce the time and cost associated with training and tuning ML models at scale.

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AWS Machine Learning Blog

MAY 10, 2023

In this post, we focus on how you can take advantage of the AWS Graviton3 -based Amazon Elastic Compute Cloud (EC2) C7g instances to help reduce inference costs by up to 50% relative to comparable EC2 instances for real-time inference on Amazon SageMaker. 4xlarge (AWS Graviton3) is about 50% of the c5.4xlarge and 40% of c6i.4xlarge;

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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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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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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

JULY 24, 2023

When deploying Deep Learning models at scale, it is crucial to effectively utilize the underlying hardware to maximize performance and cost benefits. In this post we walk you through the process of deploying FastAPI model servers on AWS Inferentia devices (found on Amazon EC2 Inf1 and Amazon EC Inf2 instances).

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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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AWS Machine Learning Blog

NOVEMBER 22, 2023

Similar to the rest of the industry, the advancements of accelerated hardware have allowed Amazon teams to pursue model architectures using neural networks and deep learning (DL). Last year, AWS launched its AWS Trainium accelerators, which optimize performance per cost for developing and building next generation DL models.

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Data Science 101

DECEMBER 2, 2019

AWS re:Invent 2019 starts today. It is a large learning conference dedicated to Amazon Web Services and Cloud Computing. Based upon the announcements last week , there will probably be a lot of focus around machine learning and deep learning.

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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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insideBIGDATA

DECEMBER 27, 2023

In this contributed article, Syed Hoda, Digital Innovation leader at AWS, discusses how businesses can generate real value from AI and generative AI.

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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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Depends on the Definition

JULY 31, 2017

When running experiments with deep neural nets you want to use appropriate hardware. A convenient way is to use an AWS instance, for example the p2. Most of the time I work on a thinkpad laptop with no GPU. This makes experimenting painfully slow.

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AWS Machine Learning Blog

MAY 16, 2024

Therefore, we decided to introduce a deep learning-based recommendation algorithm that can identify not only linear relationships in the data, but also more complex relationships. However, it was necessary to upgrade the recommendation service to analyze each customer’s taste and meet their needs.

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AWS Machine Learning Blog

JUNE 22, 2023

Working with AWS, Light & Wonder recently developed an industry-first secure solution, Light & Wonder Connect (LnW Connect), to stream telemetry and machine health data from roughly half a million electronic gaming machines distributed across its casino customer base globally when LnW Connect reaches its full potential.

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Julien Simon

NOVEMBER 28, 2022

In this video, I show you how to use Amazon SageMaker to train a Transformer model with AWS Trainium and compile it for AWS Inferentia. Starting from a BERT model and the Yelp review datatset, I first train a multi-class classification model on an ml.trn1.2xlarge instance.

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Analytics Vidhya

FEBRUARY 3, 2022

In this article, we shall discuss the upcoming innovations in the field of artificial intelligence, big data, machine learning and overall, Data Science Trends in 2022. Deep learning, natural language processing, and computer vision are examples […]. Times change, technology improves and our lives get better.

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Mlearning.ai

FEBRUARY 2, 2023

How I cleared AWS Machine Learning Specialty with three weeks of preparation (I will burst some myths of the online exam) How I prepared for the test, my emotional journey during preparation, and my actual exam experience Certified AWS ML Specialty Badge source Introduction:- I recently gave and cleared AWS ML certification on 29th Dec 2022.

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Julien Simon

MAY 17, 2023

In this video, I compare the cost/performance of AWS Trainium with the NVIDIA V100 GPU. I first launch a trn1.32xlarge instance (16 Trainium chips) and a p3dn.24xlarge 24xlarge (8 V100s). Then, I run 3 benchmarks: language pretraining with GPT2, token classification with BERT Large, and image classification with the Vision Transformer.

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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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Julien Simon

FEBRUARY 24, 2023

Video — Transformer training shootout: AWS Trainium vs. NVIDIA A10G In this video, I compare the cost-performance of AWS Trainium, a new custom chip designed by AWS, with NVIDIA A10G GPUs. I first launch a trn1.32xlarge instance (16 Trainium chips) and a g5.48xlarge (8 A10Gs).

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Data Science 101

JANUARY 31, 2020

Recent Announcements from Google BigQuery Easier to analyze Parquet and ORC files, a new bucketize transformation, new partitioning options AWS Database export to S3 Data from Amazon RDS or Aurora databases can now be exported to Amazon S3 as a Parquet file.

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Julien Simon

NOVEMBER 17, 2022

In this video, I show you how to accelerate Transformer inference with Inferentia, a custom chip designed by AWS. Starting from a Hugging Face BERT model that I fine-tuned on AWS Trainium ([link] I compile it with the Neuron SDK for Inferentia.

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Data Science 101

DECEMBER 27, 2019

AWS Deep Learning Containers now support Tensorflow 2.0 AWS Deep Learning Containers are docker images which are preconfigured for deep learning tasks. Build a custom classifier using AWS Comprehend AWS Comprehend is a Natural Language Processing (NLP) service. Education/Courses.

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Julien Simon

APRIL 14, 2023

AWS Inferentia2 is now generally available, and I couldn’t resist testing it with BERT models and comparing results with Inferentia1. This thing is FAST and looks very cost-effective. Check it out!

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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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Analytics Vidhya

JANUARY 5, 2022

Objective To learn how to use Amazon Sagemaker to Train and Deploy a Hugging Face Transformer Model. Prerequisites Basic Knowledge of AWS cloud and Hugging Face Transformers. This article was published as a part of the Data Science Blogathon. Amazon Sagemaker offers […].

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