AWS, K-nearest Neighbors and ML - Data Science Current

Build a contextual text and image search engine for product recommendations using Amazon Bedrock and Amazon OpenSearch Serverless

AWS Machine Learning Blog

APRIL 3, 2024

We detail the steps to use an Amazon Titan Multimodal Embeddings model to encode images and text into embeddings, ingest embeddings into an OpenSearch Service index, and query the index using the OpenSearch Service k-nearest neighbors (k-NN) functionality. Virginia) and US West (Oregon) AWS Regions.

K-nearest Neighbors

K-nearest Neighbors AWS Machine Learning Machine Learning

Build a secure enterprise application with Generative AI and RAG using Amazon SageMaker JumpStart

AWS Machine Learning Blog

SEPTEMBER 6, 2023

With generative AI on AWS, you can reinvent your applications, create entirely new customer experiences, and improve overall productivity. You can use this post as a reference to build secure enterprise applications in the Generative AI domain using AWS services. An Amazon Simple Storage Service (Amazon S3) bucket.

AWS

AWS K-nearest Neighbors AI AI

Implement unified text and image search with a CLIP model using Amazon SageMaker and Amazon OpenSearch Service

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

AWS

AWS ML ML K-nearest Neighbors

Webinars

The Product Manager’s Guide to Optimizing DX for Systemic Impact

Understanding User Needs and Satisfying Them

Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know

Leading the Development of Profitable and Sustainable Products

How To Get Promoted In Product Management

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Talk to your slide deck using multimodal foundation models hosted on Amazon Bedrock and Amazon SageMaker – Part 2

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

AWS ML ML Database

Retrieval-Augmented Generation with LangChain, Amazon SageMaker JumpStart, and MongoDB Atlas semantic search

Flipboard

NOVEMBER 17, 2023

Amazon SageMaker enables enterprises to build, train, and deploy machine learning (ML) models. Amazon SageMaker JumpStart provides pre-trained models and data to help you get started with ML. This type of data is often used in ML and artificial intelligence applications. As always, AWS welcomes feedback.

K-nearest Neighbors

K-nearest Neighbors AWS Clustering Database

How Foundation Models bolster programmatic labeling

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

K-nearest Neighbors Clustering AI AI

How Foundation Models bolster programmatic labeling

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

K-nearest Neighbors Clustering AI AI

Semantic image search for articles using Amazon Rekognition, Amazon SageMaker foundation models, and Amazon OpenSearch Service

AWS Machine Learning Blog

SEPTEMBER 8, 2023

It also relies on the images in the repository being tagged correctly, which can also be automated (for a customer success story, refer to Aller Media Finds Success with KeyCore and AWS ). Using the k-nearest neighbors (k-NN) algorithm, you define how many images to return in your results.

K-nearest Neighbors

K-nearest Neighbors AWS ML ML

Fast-track graph ML with GraphStorm: A new way to solve problems on enterprise-scale graphs

AWS Machine Learning Blog

JUNE 9, 2023

a low-code enterprise graph machine learning (ML) framework to build, train, and deploy graph ML solutions on complex enterprise-scale graphs in days instead of months. With GraphStorm, we release the tools that Amazon uses internally to bring large-scale graph ML solutions to production. license on GitHub. GraphStorm 0.1

ML

ML ML K-nearest Neighbors AWS

Talk to your slide deck using multimodal foundation models hosted on Amazon Bedrock and Amazon SageMaker – Part 1

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

AWS K-nearest Neighbors ML ML

Easily build semantic image search using Amazon Titan

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

AWS K-nearest Neighbors ML ML

Build a crop segmentation machine learning model with Planet data and Amazon SageMaker geospatial capabilities

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

Machine Learning Machine Learning ML ML

Power recommendations and search using an IMDb knowledge graph – Part 3

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

AWS ML ML Machine Learning

Boosting RAG-based intelligent document assistants using entity extraction, SQL querying, and agents with Amazon Bedrock

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

SQL AWS Database Analytics

Identifying defense coverage schemes in NFL’s Next Gen Stats

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

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Data Science Current

Build a contextual text and image search engine for product recommendations using Amazon Bedrock and Amazon OpenSearch Serverless

Build a secure enterprise application with Generative AI and RAG using Amazon SageMaker JumpStart

Webinars

Trending Sources

Implement unified text and image search with a CLIP model using Amazon SageMaker and Amazon OpenSearch Service

Webinars

Talk to your slide deck using multimodal foundation models hosted on Amazon Bedrock and Amazon SageMaker – Part 2

Retrieval-Augmented Generation with LangChain, Amazon SageMaker JumpStart, and MongoDB Atlas semantic search

How Foundation Models bolster programmatic labeling

How Foundation Models bolster programmatic labeling

Semantic image search for articles using Amazon Rekognition, Amazon SageMaker foundation models, and Amazon OpenSearch Service

Fast-track graph ML with GraphStorm: A new way to solve problems on enterprise-scale graphs

Talk to your slide deck using multimodal foundation models hosted on Amazon Bedrock and Amazon SageMaker – Part 1

Easily build semantic image search using Amazon Titan

Build a crop segmentation machine learning model with Planet data and Amazon SageMaker geospatial capabilities

Power recommendations and search using an IMDb knowledge graph – Part 3

Boosting RAG-based intelligent document assistants using entity extraction, SQL querying, and agents with Amazon Bedrock

Identifying defense coverage schemes in NFL’s Next Gen Stats

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