AWS Machine Learning Blog

APRIL 19, 2024

We used AWS services including Amazon Bedrock , Amazon SageMaker , and Amazon OpenSearch Serverless in this solution. In this series, we use the slide deck Train and deploy Stable Diffusion using AWS Trainium & AWS Inferentia from the AWS Summit in Toronto, June 2023 to demonstrate the solution.

AWS 122

AWS ML ML Database 122

AWS Machine Learning Blog

JUNE 3, 2024

Kinesis Video Streams makes it straightforward to securely stream video from connected devices to AWS for analytics, machine learning (ML), playback, and other processing. This solution was created with AWS Amplify. It enables real-time video ingestion, storage, encoding, and streaming across devices.

AWS 118

AWS K-nearest Neighbors ML ML 118

AWS Machine Learning Blog

JANUARY 30, 2024

and AWS services including Amazon Bedrock and Amazon SageMaker to perform similar generative tasks on multimodal data. In this post, we use the slide deck titled Train and deploy Stable Diffusion using AWS Trainium & AWS Inferentia from the AWS Summit in Toronto, June 2023, to demonstrate the solution.

AWS 129

AWS ML ML K-nearest Neighbors 129

AWS Machine Learning Blog

NOVEMBER 30, 2023

The previous post discussed how you can use Amazon machine learning (ML) services to help you find the best images to be placed along an article or TV synopsis without typing in keywords. Amazon Rekognition automatically recognizes tens of thousands of well-known personalities in images and videos using ML.

AWS 122

AWS K-nearest Neighbors ML ML 122

AWS Machine Learning Blog

JANUARY 6, 2023

Many AWS media and entertainment customers license IMDb data through AWS Data Exchange to improve content discovery and increase customer engagement and retention. We downloaded the data from AWS Data Exchange and processed it in AWS Glue to generate KG files. Background. Launch solution resources.

AWS 100

AWS ML ML Machine Learning 100

AWS Machine Learning Blog

SEPTEMBER 29, 2023

In late 2023, Planet announced a partnership with AWS to make its geospatial data available through Amazon SageMaker. In this post, we illustrate how to use a segmentation machine learning (ML) model to identify crop and non-crop regions in an image. Planet’s data is therefore a valuable resource for geospatial ML.

Machine Learning 133

Machine Learning Machine Learning ML ML 133

Flipboard

FEBRUARY 7, 2025

You will execute scripts to create an AWS Identity and Access Management (IAM) role for invoking SageMaker, and a role for your user to create a connector to SageMaker. An AWS account You will need to be able to create an OpenSearch Service domain and two SageMaker endpoints. Python The code has been tested with Python version 3.13.

Database 86

Database AWS Python ML 86

AWS Machine Learning Blog

APRIL 5, 2023

Amazon SageMaker Serverless Inference is a purpose-built inference service that makes it easy to deploy and scale machine learning (ML) models. You can also use an AWS CloudFormation template by following the GitHub instructions to create a domain. aws s3 cp $BUILD_ROOT/model.tar.gz $S3_PATH !bash bin/bash MODEL_NAME=RN50.pt

ML 109

ML ML AWS K-nearest Neighbors 109

AWS Machine Learning Blog

DECEMBER 6, 2023

Another driver behind RAG’s popularity is its ease of implementation and the existence of mature vector search solutions, such as those offered by Amazon Kendra (see Amazon Kendra launches Retrieval API ) and Amazon OpenSearch Service (see k-Nearest Neighbor (k-NN) search in Amazon OpenSearch Service ), among others.

SQL 124

SQL AWS Analytics Analytics 124

AWS Machine Learning Blog

FEBRUARY 10, 2023

Through a collaboration between the Next Gen Stats team and the Amazon ML Solutions Lab , we have developed the machine learning (ML)-powered stat of coverage classification that accurately identifies the defense coverage scheme based on the player tracking data. In this post, we deep dive into the technical details of this ML model.

ML 95

ML ML Machine Learning Machine Learning 95

AWS Machine Learning Blog

FEBRUARY 5, 2025

The listing indexer AWS Lambda function continuously polls the queue and processes incoming listing updates. With Amazon OpenSearch Service, you get a fully managed solution that makes it simple to deploy, scale, and operate OpenSearch in the AWS Cloud. He has specialization in data strategy, machine learning and Generative AI.

K-nearest Neighbors 81

K-nearest Neighbors Machine Learning Machine Learning Database 81

AWS Machine Learning Blog

SEPTEMBER 25, 2024

The whole process is shown in the following image: Implementation steps This solution has been tested in AWS Region us-east-1. To set up a JupyterLab space Sign in to your AWS account and open the AWS Management Console. However, it can also work in other Regions where the following services are available.

AWS 90

AWS K-nearest Neighbors ML ML 90

Snorkel AI

JANUARY 26, 2023

So, we propose to do this sort of K-nearest-neighbors-type extension per source in the embedding space. For instance, if we have a labeling function for sentiment that fires on the words “awful” and “terrible,” then it’s not going to catch the word “horrible.” AR: That makes a ton of sense.

K-nearest Neighbors 52

K-nearest Neighbors Clustering Computer Science Computer Science 52

Snorkel AI

JANUARY 26, 2023

So, we propose to do this sort of K-nearest-neighbors-type extension per source in the embedding space. For instance, if we have a labeling function for sentiment that fires on the words “awful” and “terrible,” then it’s not going to catch the word “horrible.” AR: That makes a ton of sense.

K-nearest Neighbors 52

K-nearest Neighbors Clustering Computer Science Computer Science 52

AWS Machine Learning Blog

FEBRUARY 25, 2025

The integration with Amazon Bedrock is achieved through the Boto3 Python module, which serves as an interface to the AWS, enabling seamless interaction with Amazon Bedrock and the deployment of the classification model. For the classfier, we employed a classic ML algorithm, k-NN, using the scikit-learn Python module.

Algorithm 78

Algorithm Machine Learning Machine Learning K-nearest Neighbors 78

Flipboard

DECEMBER 18, 2024

Amazon OpenSearch Service Amazon OpenSearch Service is a fully managed service that simplifies the deployment, operation, and scaling of OpenSearch in the AWS Cloud to provide powerful search and analytics capabilities. Teams can use OpenSearch Service ML connectors which facilitate access to models hosted on third-party ML platforms.

K-nearest Neighbors 121

K-nearest Neighbors AWS ML ML 121

AWS Machine Learning Blog

NOVEMBER 18, 2024

Amazon OpenSearch Serverless is a serverless deployment option for Amazon OpenSearch Service, a fully managed service that makes it simple to perform interactive log analytics, real-time application monitoring, website search, and vector search with its k-nearest neighbor (kNN) plugin.

K-nearest Neighbors 109

K-nearest Neighbors AWS ML ML 109

AWS Machine Learning Blog

DECEMBER 10, 2024

Part 1 uses AWS services including Amazon Bedrock , Amazon SageMaker , and Amazon OpenSearch Serverless. We performed a k-nearest neighbor (k-NN) search to retrieve the most relevant embedding matching the question. You can do this by deleting the stacks using the AWS CloudFormation console.

AWS 103

AWS K-nearest Neighbors Database ML 103

AWS Machine Learning Blog

OCTOBER 24, 2024

The AWS Generative AI Innovation Center (GenAIIC) is a team of AWS science and strategy experts who have deep knowledge of generative AI. They help AWS customers jumpstart their generative AI journey by building proofs of concept that use generative AI to bring business value.

AWS 91

AWS K-nearest Neighbors Database AI 91