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.

AWS 98

AWS Clustering Deep Learning Deep Learning 98

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.

AWS 124

AWS ML ML AI 124

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.

AWS 110

AWS ML ML Machine Learning 110

Smart Data Collective

NOVEMBER 9, 2022

The team has years of experience and a satisfaction rate of over 97% because it dives deep into data to uncover its essence and dares to act. The company is a certified partner of Google Cloud, Microsoft Azure, and AWS. The post Top 8 Machine Learning Development Companies in 2022 appeared first on SmartData Collective.

Machine Learning 122

Machine Learning Machine Learning Artificial Intelligence Artificial Intelligence 122

AWS Machine Learning Blog

MAY 10, 2023

Given the importance of Jupyter to data scientists and ML developers, AWS is an active sponsor and contributor to Project Jupyter. In parallel to these open-source contributions, we have AWS product teams who are working to integrate Jupyter with products such as Amazon SageMaker.

ML 104

ML ML AWS Data Science 104

AWS Machine Learning Blog

SEPTEMBER 21, 2023

To add to our guidance for optimizing deep learning workloads for sustainability on AWS , this post provides recommendations that are specific to generative AI workloads. In 2022, we observed that training models on Trainium helps you reduce energy consumption by up to 29% vs. comparable instances.

AWS 131

AWS AI AI Deep Learning 131

AWS Machine Learning Blog

JANUARY 13, 2023

In this two-part series, we demonstrate how you can deploy a cloud-based FL framework on AWS. We have developed an FL framework on AWS that enables analyzing distributed and sensitive health data in a privacy-preserving manner. In this post, we showed how you can deploy the open-source FedML framework on AWS. Conclusion.

AWS 99

AWS Analytics Analytics Machine Learning 99

Flipboard

FEBRUARY 16, 2023

In October 2022, we launched Amazon EC2 Trn1 Instances , powered by AWS Trainium , which is the second generation machine learning accelerator designed by AWS. Our solution uses the AWS ParallelCluster management tool to create the necessary infrastructure and environment to spin up a Trn1 UltraCluster.

Clustering 130

Clustering AWS Deep Learning Deep Learning 130

Flipboard

MARCH 9, 2023

In this post, we review the technical requirements and application design considerations for fine-tuning and serving hyper-personalized AI models at scale on AWS. Second, SageMaker supports unique GPU-enabled hosting options for deploying deep learning models at scale.

AWS 146

AWS ML ML AI 146

AWS Machine Learning Blog

JANUARY 13, 2023

To mitigate these challenges, we propose a federated learning (FL) framework, based on open-source FedML on AWS, which enables analyzing sensitive HCLS data. It involves training a global machine learning (ML) model from distributed health data held locally at different sites. Request a VPC peering connection.

AWS 96

AWS Analytics Analytics Machine Learning 96

DrivenData Labs

MAY 12, 2025

competition, winning solutions used deep learning approaches from facial recognition tasks (particularly ArcFace and EfficientNet) to help the Bureau of Ocean and Energy Management and NOAA Fisheries monitor endangered populations of beluga whales by matching overhead photos with known individuals. For example: In the Where's Whale-do?

Algorithm 130

Algorithm Machine Learning Machine Learning Deep Learning 130

Flipboard

FEBRUARY 7, 2023

The second notebook shows how the expert annotations that are available for hundreds of studies on TCIA can be downloaded as DICOM SEG and RTSTRUCT objects, visualized in 3D or as overlays on 2D slices, and used for training and evaluation of deep learning systems. Gang Fu is a Healthcare Solution Architect at AWS.

AWS 130

AWS ML ML Deep Learning 130

ODSC - Open Data Science

FEBRUARY 17, 2023

Natural language processing (NLP) has been growing in awareness over the last few years, and with the popularity of ChatGPT and GPT-3 in 2022, NLP is now on the top of peoples’ minds when it comes to AI. Developing NLP tools isn’t so straightforward, and requires a lot of background knowledge in machine & deep learning, among others.

Data Science 111

Data Science Deep Learning Deep Learning Natural Language Processing 111

AWS Machine Learning Blog

FEBRUARY 20, 2024

ZOO Digital works with over 11,000 freelancers and localized over 600 million words in 2022 alone. With an aim to accelerate the localization of content workflows through machine learning, ZOO Digital engaged AWS Prototyping, an investment program by AWS to co-build workloads with customers. __dict__[WAV2VEC2_MODEL].get_model(dl_kwargs={"model_dir":

AWS 127

AWS AI Machine Learning Machine Learning 127

AWS Machine Learning Blog

NOVEMBER 26, 2024

About the Authors Benoit de Patoul is a GenAI/AI/ML Specialist Solutions Architect at AWS. Naresh Nagpal is a Solutions Architect at AWS with extensive experience in application development, integration, and technology architecture. In his free time, he likes to play piano and spend time with friends.

Machine Learning 100

Machine Learning Machine Learning ML ML 100

AWS Machine Learning Blog

APRIL 19, 2023

The DJL is a deep learning framework built from the ground up to support users of Java and JVM languages like Scala, Kotlin, and Clojure. With the DJL, integrating this deep learning is simple. Business requirements We are the US squad of the Sportradar AI department. The architecture of DJL is engine agnostic.

ML 96

ML ML Deep Learning Deep Learning 96

AWS Machine Learning Blog

APRIL 12, 2023

The AI and data science team dive into a plethora of multi-dimensional data and run a variety of use cases like player journey optimization, game action detection, hyper-personalization, customer 360, and more on AWS. Solution overview The following diagram illustrates the solution architecture.

ML 107

ML ML AWS Deep Learning 107

AWS Machine Learning Blog

SEPTEMBER 11, 2024

Examples of other PBAs now available include AWS Inferentia and AWS Trainium , Google TPU, and Graphcore IPU. Together, these elements lead to the start of a period of dramatic progress in ML, with NN being redubbed deep learning. Suppliers of data center GPUs include NVIDIA, AMD, Intel, and others.

AWS 107

AWS ML ML Clustering 107

AWS Machine Learning Blog

MARCH 6, 2023

These factors require training an LLM over large clusters of accelerated machine learning (ML) instances. In the past few years, numerous customers have been using the AWS Cloud for LLM training. We recommend working with your AWS account team or contacting AWS Sales to determine the appropriate Region for your LLM workload.

AWS 104

AWS Clustering ML ML 104

Pickl AI

DECEMBER 26, 2024

billion by the end of 2024 , reflecting a remarkable increase from $29 billion in 2022. The primary components include: Graphics Processing Units (GPUs) These are specially designed for parallel processing, making them ideal for training deep learning models. The global Generative AI market is projected to exceed $66.62

AI 52

AI AI Deep Learning Deep Learning 52

AWS Machine Learning Blog

MARCH 6, 2024

As shown in the following table, many of the top-selling drugs in 2022 were either proteins (especially antibodies) or other molecules like mRNA translated into proteins in the body. Name Manufacturer 2022 Global Sales ($ billions USD) Indications Comirnaty Pfizer/BioNTech $40.8 Top companies and drugs by sales in 2022.

AWS 125

AWS Machine Learning Machine Learning ML 125

DrivenData Labs

JUNE 14, 2023

In December 2022, DrivenData and Meta AI launched the Video Similarity Challenge. Between December 2022 and April 2023, 404 participants from 59 countries signed up to solve the problems posed by the two tracks, and 82 went on to submit solutions. His research interest is deep metric learning and computer vision.

Supervised Learning 173

Supervised Learning Artificial Intelligence Artificial Intelligence Machine Learning 173

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.

Machine Learning 52

Machine Learning Machine Learning AWS ML 52

AWS Machine Learning Blog

JULY 8, 2024

Stable Diffusion XL by Stability AI is a high-quality text-to-image deep learning model that allows you to generate professional-looking images in various styles. AWS CodeCommit is a fully managed source control service that hosts private Git repositories. Kohya SS can be used with a GUI.

AWS 126

AWS ML ML AI 126

AWS Machine Learning Blog

AUGUST 2, 2024

of nodes with text-features MAG 484,511,504 7,520,311,838 4/4 28,679,392 1,313,781,772 240,955,156 We benchmark two main LM-GNN methods in GraphStorm: pre-trained BERT+GNN, a baseline method that is widely adopted, and fine-tuned BERT+GNN, introduced by GraphStorm developers in 2022. Dataset Num. of nodes Num. of edges Num.

ML 118

ML ML Machine Learning Machine Learning 118

AWS Machine Learning Blog

SEPTEMBER 7, 2023

In February 2022, Amazon Web Services added support for NVIDIA GPU metrics in Amazon CloudWatch , making it possible to push metrics from the Amazon CloudWatch Agent to Amazon CloudWatch and monitor your code for optimal GPU utilization. To deploy the architecture, you will need AWS credentials. already installed.

Clustering 121

Clustering AWS Machine Learning Machine Learning 121

AWS Machine Learning Blog

JUNE 7, 2023

For example, GPT-3 (2020) and BLOOM (2022) feature around 175 billion parameters, Gopher (2021) has 230 billion parameters, and MT-NLG (2021) 530 billion parameters. In 2022, Hoffman et al. In 2022, Hoffman et al. They implemented their guidance in the 70B parameter Chinchilla (2022) model, that outperformed much bigger models.

Clustering 101

Clustering Machine Learning Machine Learning AWS 101

AWS Machine Learning Blog

APRIL 17, 2023

However, as the size and complexity of the deep learning models that power generative AI continue to grow, deployment can be a challenging task. Then, we highlight how Amazon SageMaker large model inference deep learning containers (LMI DLCs) can help with optimization and deployment.

AWS 102

AWS Deep Learning Deep Learning Machine Learning 102

AWS Machine Learning Blog

AUGUST 9, 2023

This technique has shown promising results starting in 2022 with the explosion of a new class of foundation models (FMs) called latent diffusion models such as Stable Diffusion , Midjourney , and Dall-E-2. About the authors Fabian Benitez-Quiroz is a IoT Edge Data Scientist in AWS Professional Services. Romil Shah is a Sr.

AWS 97

AWS AI AI Machine Learning 97

AWS Machine Learning Blog

SEPTEMBER 12, 2024

In this post, we explore the journey that Thomson Reuters took to enable cutting-edge research in training domain-adapted large language models (LLMs) using Amazon SageMaker HyperPod , an Amazon Web Services (AWS) feature focused on providing purpose-built infrastructure for distributed training at scale.

Clustering 104

Clustering AWS ML ML 104

AssemblyAI

AUGUST 27, 2023

Let’s look at three of the most popular Speech-to-Text APIs and AI models with a free tier: AssemblyAI, Google, and AWS Transcribe. AWS Transcribe AWS Transcribe offers one hour free per month for the first 12 months of use. Coqui Coqui is another deep learning toolkit for Speech-to-Text transcription.

AWS 98

AWS AI AI Python 98

AWS Machine Learning Blog

MARCH 29, 2023

Input data is streamed from the plant via OPC-UA through SiteWise Edge Gateway in AWS IoT Greengrass. During the prototyping phase, HAYAT HOLDING deployed models to SageMaker hosting services and got endpoints that are fully managed by AWS. Take advantage of industry-specific innovations and solutions using AWS for Industrial.

ML 96

ML ML AWS Machine Learning 96

AWS Machine Learning Blog

SEPTEMBER 25, 2023

2022 ): A large memory footprint due to massive model parameters and transient state during decoding. Then we highlight how Amazon SageMaker large model inference (LMI) deep learning containers (DLCs) can help with these techniques. Dhawal Patel is a Principal Machine Learning Architect at AWS.

Machine Learning 123

Machine Learning Machine Learning Deep Learning Deep Learning 123

Dataconomy

FEBRUARY 6, 2024

When it comes to the role of AI in information technology, machine learning, with its deep learning capabilities, is the best use case. Machine learning algorithms are designed to uncover connections and patterns within data. Besides, the company is to charge $US30 a month for its Generative AI features. times since 2017.

ML 121

ML ML Machine Learning Machine Learning 121

Flipboard

JUNE 18, 2025

Miller Allie is the former Global Head of Machine Learning Business Development for Startups and Venture Capital at AWS, Allie is a prominent AI strategist and advisor. 6: Yann LeCun Yann is the chief AI Scientist at Meta and a pioneer in deep learning, Yann is a Turing Award laureate and influential AI researcher.

AI 78

AI AI Machine Learning Machine Learning 78

Data Science Dojo

JULY 3, 2024

Machine Learning : Supervised and unsupervised learning algorithms, including regression, classification, clustering, and deep learning. Tools and frameworks like Scikit-Learn, TensorFlow, and Keras are often covered.

Data Science 150

Data Science Machine Learning Machine Learning Data Visualization 150

The MLOps Blog

MARCH 23, 2023

Large model sizes The MT-NLG model released in 2022 has 530 billion parameters and requires several hundred gigabytes of storage. Likewise, according to AWS , inference accounts for 90% of machine learning demand in the cloud. 2022 where they show how to train a model on a fixed-compute budget. 2020 or Hoffman et al.,

Natural Language Processing 115

Natural Language Processing Cloud Computing AWS Deep Learning 115