AWS Machine Learning Blog

NOVEMBER 13, 2024

In the context of generative AI , significant progress has been made in developing multimodal embedding models that can embed various data modalities—such as text, image, video, and audio data—into a shared vector space. To do so, find the best extracted image in the local directory created when the images were downloaded.

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AWS Database K-nearest Neighbors AI 115

Flipboard

MAY 5, 2025

Jump Right To The Downloads Section Introduction What Is AWS OpenSearch? Vector and Semantic Search: Leverages machine learning-powered search techniques, including k-NN (k-nearest neighbors) and dense vector embeddings, for applications like AI-driven search, recommendation systems, and similarity search.

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AWS Clustering Deep Learning Deep Learning 118

AWS Machine Learning Blog

APRIL 3, 2024

Search engines and recommendation systems powered by generative AI can improve the product search experience exponentially by understanding natural language queries and returning more accurate results. He specializes in Generative AI, Artificial Intelligence, Machine Learning, and System Design. Review and prepare the dataset.

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K-nearest Neighbors AWS Machine Learning Machine Learning 132

AWS Machine Learning Blog

JANUARY 30, 2024

With the advent of generative AI, today’s foundation models (FMs), such as the large language models (LLMs) Claude 2 and Llama 2, can perform a range of generative tasks such as question answering, summarization, and content creation on text data. Setting k=1 retrieves the most relevant slide to the user question. file for this model.

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AWS ML ML K-nearest Neighbors 130

PyImageSearch

MAY 12, 2025

Jump Right To The Downloads Section Introduction In the previous blog , we covered the end-to-end setup of AWS OpenSearch, from deploying an OpenSearch domain to indexing and retrieving test data, as well as testing access via API and OpenSearch Dashboards to ensure everything was functioning correctly. data queries_set_1.txt

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AWS K-nearest Neighbors Deep Learning Deep Learning 74

AWS Machine Learning Blog

NOVEMBER 30, 2023

The function then searches the OpenSearch Service image index for images matching the celebrity name and the k-nearest neighbors for the vector using cosine similarity using Exact k-NN with scoring script. cd semantic-image-search-for-articles Run npm install to download all the packages required to run the application.

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AWS K-nearest Neighbors ML ML 123

AWS Machine Learning Blog

SEPTEMBER 29, 2023

In this analysis, we use a K-nearest neighbors (KNN) model to conduct crop segmentation, and we compare these results with ground truth imagery on an agricultural region. This example uses the Python client to identify and download imagery needed for the analysis.

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Machine Learning Machine Learning ML ML 135