PyImageSearch

MAY 19, 2025

run_opensearch.sh Running OpenSearch Locally A script to start OpenSearch using Docker for local testing before deploying to AWS. Register the Sentence Transformer model in AWS OpenSearch: AWS users must ensure that OpenSearch can access the model before indexing. These can be used for evaluation and comparison.

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K-nearest Neighbors AWS Deep Learning Deep Learning 91

Flipboard

APRIL 23, 2025

To assist in this effort, AWS provides a range of generative AI security strategies that you can use to create appropriate threat models. For all data stored in Amazon Bedrock, the AWS shared responsibility model applies.

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PyImageSearch

MAY 12, 2025

Home Table of Contents Build a Search Engine: Deploy Models and Index Data in AWS OpenSearch Introduction What Will We Do in This Blog? However, we will also provide AWS OpenSearch instructions so you can apply the same setup in the cloud. This is useful for running OpenSearch locally for testing before deploying it on AWS.

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AWS Machine Learning Blog

APRIL 9, 2025

You can recreate the example manually or using the AWS Cloud Development Kit (AWS CDK) by following our GitHub repository. However, booking, updating, or canceling a PTO request requires changes on a database and are actions that should be confirmed before execution. With over 10 years of experience in AI/ML.

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Flipboard

DECEMBER 2, 2024

Today at AWS re:Invent 2024, we are excited to announce a new feature for Amazon SageMaker inference endpoints: the ability to scale SageMaker inference endpoints to zero instances. This long-awaited capability is a game changer for our customers using the power of AI and machine learning (ML) inference in the cloud.

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AWS Machine Learning Blog

MARCH 18, 2024

NIM is available as a paid offering as part of the NVIDIA AI Enterprise software subscription available on AWS Marketplace. He works with Amazon.com to design, build, and deploy technology solutions on AWS, and has a particular interest in AI and machine learning. Qing Lan is a Software Development Engineer in AWS.

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Deep Learning Deep Learning AWS Machine Learning 134

AWS Machine Learning Blog

NOVEMBER 30, 2023

The number of companies launching generative AI applications on AWS is substantial and building quickly, including adidas, Booking.com, Bridgewater Associates, Clariant, Cox Automotive, GoDaddy, and LexisNexis Legal & Professional, to name just a few. Innovative startups like Perplexity AI are going all in on AWS for generative AI.

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AWS Machine Learning Blog

JULY 26, 2023

In this post, we show how you can run Stable Diffusion models and achieve high performance at the lowest cost in Amazon Elastic Compute Cloud (Amazon EC2) using Amazon EC2 Inf2 instances powered by AWS Inferentia2. versions on AWS Inferentia2 cost-effectively. You can run both Stable Diffusion 2.1 The Stable Diffusion 2.1

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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

NOVEMBER 22, 2023

From the earliest days, Amazon has used ML for various use cases such as book recommendations, search, and fraud detection. 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).

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AWS ML ML Deep Learning 121

AWS Machine Learning Blog

OCTOBER 23, 2024

SnapLogic uses Amazon Bedrock to build its platform, capitalizing on the proximity to data already stored in Amazon Web Services (AWS). To address customers’ requirements about data privacy and sovereignty, SnapLogic deploys the data plane within the customer’s VPC on AWS.

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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. Trn1 instances are purpose built for high-performance deep learning model training while offering up to 50% cost-to-train savings over comparable GPU-based instances.

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Clustering AWS Deep Learning Deep Learning 132

AWS Machine Learning Blog

MAY 7, 2024

Solution overview The entire infrastructure of the solution is provisioned using the AWS Cloud Development Kit (AWS CDK), which is an infrastructure as code (IaC) framework to programmatically define and deploy AWS resources. AWS CDK version 2.0 AWS CDK version 2.0

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AWS Machine Learning Blog

JUNE 18, 2024

Some examples include extracting players and positions in an NFL game summary, products mentioned in an AWS keynote transcript, or key names from an article on a favorite tech company. We extract the default generic entities through the AWS SDK for Python (Boto3) as follows: import pandas as pd comprehend_client = boto3.client("comprehend")

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O'Reilly Media

NOVEMBER 26, 2024

Too many students think that engineering is about getting the answer in the back of the book, not about making the trade-offs that are necessary in the real world. For example in Topic 1, the skills “AWS” and “cloud” map to the job titles cloud engineer, AWS solutions architect, and technology consultant.

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Cloud Computing AWS Azure Machine Learning 112

Data Science Dojo

OCTOBER 17, 2023

NMT is a deep learning approach to translation that uses neural networks to learn the patterns of human language and generate translations. Offers seamless integration with other AWS services. Imagine LLMs as really smart translators who have been trained on a mountain of books and articles.

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AWS Machine Learning Blog

JUNE 15, 2023

Dive into Deep Learning ( D2L.ai ) is an open-source textbook that makes deep learning accessible to everyone. It is a challenging endeavor to have an online book that is continuously kept up to date, written by multiple authors, and available in multiple languages. In this post, we present a solution that D2L.ai

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AWS Machine Learning Blog

DECEMBER 13, 2023

It uses advanced deep learning technologies to accurately transcribe audio into text. The solution presented in this post is orchestrated using an AWS Step Functions state machine that is triggered when you upload a recording to the designated Amazon Simple Storage Service (Amazon S3) bucket.

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AWS Machine Learning Blog

JANUARY 31, 2024

These models are based on deep learning architectures such as Transformers, which can capture the contextual information and relationships between words in a sentence more effectively. You can use it via either the Amazon Bedrock REST API or the AWS SDK. Why do we need an embeddings model? Nitin Eusebius is a Sr.

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Natural Language Processing AWS Machine Learning Machine Learning 137

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. Thirdly, the presence of GPUs enabled the labeled data to be processed.

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Flipboard

APRIL 16, 2025

LLMs are large deep learning models that are pre-trained on vast amounts of data. The solution uses various AWS services to create an end-to-end system that enables field technicians to capture label images, extract data using AI models, verify the accuracy, and seamlessly update the inventory database.

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AWS Machine Learning Blog

FEBRUARY 13, 2024

Model training was accelerated by 50% through the use of the SMDDP library, which includes optimized communication algorithms designed specifically for AWS infrastructure. For SageMaker distributed training, the instances need to be in the same AWS Region and Availability Zone. days in AWS vs. 9 days on their legacy platform).

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AWS Machine Learning Blog

SEPTEMBER 16, 2024

DNABERT 6 Dataset For this post, we use the gRNA data released by researchers in a paper about gRNA prediction using deep learning. CRISPRon is a CNN based deep learning model. We also provided code that can help you jumpstart your biology applications in AWS. Yudi Zhang is an Applied Scientist at AWS marketing.

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AWS Machine Learning Blog

AUGUST 6, 2024

Originating from advancements in artificial intelligence (AI) and deep learning, these models are designed to understand and translate descriptive text into coherent, aesthetically pleasing music. Obtain the AWS Deep Learning Containers for Large Model Inference from pre-built HuggingFace Inference Containers.

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AWS Machine Learning Blog

DECEMBER 22, 2023

The SMP configuration is as follows: { "hybrid_shard_degree": 16 } To learn more about the advantages of hybrid sharded data parallelism, refer to Near-linear scaling of gigantic-model training on AWS. He leads frameworks, compilers, and optimization techniques for deep learning training.

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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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AWS Machine Learning Blog

FEBRUARY 29, 2024

Knowledge Bases for Amazon Bedrock allows you to build performant and customized Retrieval Augmented Generation (RAG) applications on top of AWS and third-party vector stores using both AWS and third-party models. You can also use the StartIngestionJob API to trigger the sync via the AWS SDK.

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AWS Machine Learning Blog

SEPTEMBER 12, 2023

Solution overview Scalable Capital’s ML infrastructure consists of two AWS accounts: one as an environment for the development stage and the other one for the production stage. To learn more about Hugging Face and SageMaker, refer to the following resources: Use Hugging Face with Amazon SageMaker What are AWS Deep Learning Containers?

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AWS Machine Learning Blog

SEPTEMBER 24, 2024

Working with the AWS Generative AI Innovation Center , DoorDash built a solution to provide Dashers with a low-latency self-service voice experience to answer frequently asked questions, reducing the need for live agent assistance, in just 2 months. “We You can deploy the solution in your own AWS account and try the example solution.

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Towards AI

MAY 30, 2024

If you’ve enjoyed the list of courses at Gen AI 360, wait for this… Today, I am super excited to finally announce that we at towards_AI have released our first book: Building LLMs for Production. This 470-page book is all about LLMs and how to work with them. Good morning, fellow learners. Get your copy now! Our must-read articles 1.

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AWS Machine Learning Blog

AUGUST 9, 2023

To scale the proposed solution for production and streamline the deployment of AI models in the AWS environment, we demonstrate it using SageMaker endpoints. Prerequisites We have developed an AWS CloudFormation template that will create the SageMaker notebooks used to deploy the endpoints and run inference.

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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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Machine Learning Machine Learning AWS ML 52

AWS Machine Learning Blog

OCTOBER 11, 2023

About the Authors Abhi Shivaditya is a Senior Solutions Architect at AWS, working with strategic global enterprise organizations to facilitate the adoption of AWS services in areas such as Artificial Intelligence, distributed computing, networking, and storage. Dhawal Patel is a Principal Machine Learning Architect at AWS.

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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.

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AWS Machine Learning Blog

AUGUST 8, 2023

Recent scientific breakthroughs in deep learning (DL), large language models (LLMs), and generative AI is allowing customers to use advanced state-of-the-art solutions with almost human-like performance. In this post, we show how to run multiple deep learning ensemble models on a GPU instance with a SageMaker MME.

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Deep Learning Deep Learning AWS ML 98

Flipboard

DECEMBER 13, 2024

To remain competitive, capital markets firms are adopting Amazon Web Services (AWS) Cloud services across the trade lifecycle to rearchitect their infrastructure, remove capacity constraints, accelerate innovation, and optimize costs. trillion in assets across thousands of accounts worldwide.

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AWS Machine Learning Blog

AUGUST 14, 2023

SageMaker JumpStart SageMaker JumpStart serves as a model hub encapsulating a broad array of deep learning models for text, vision, audio, and embedding use cases. With over 500 models, its model hub comprises both public and proprietary models from AWS’s partners such as AI21, Stability AI, Cohere, and LightOn.

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