Remove Algorithm Remove Data Pipeline Remove K-nearest Neighbors
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OfferUp improved local results by 54% and relevance recall by 27% with multimodal search on Amazon Bedrock and Amazon OpenSearch Service

AWS Machine Learning Blog

Previously, OfferUps search engine was built with Elasticsearch (v7.10) on Amazon Elastic Compute Cloud (Amazon EC2), using a keyword search algorithm to find relevant listings. The following diagram illustrates the data pipeline for indexing and query in the foundational search architecture.

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Using Guardrails for Trustworthy AI, Projected AI Trends for 2024, and the Top Remote AI Jobs in…

ODSC - Open Data Science

Photo Mosaics with Nearest Neighbors: Machine Learning for Digital Art In this post, we focus on a color-matching strategy that is of particular interest to a data science or machine learning audience because it utilizes a K-nearest neighbors (KNN) modeling approach.

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

AWS Machine Learning Blog

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.

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How Active Learning Can Improve Your Computer Vision Pipeline

DagsHub

For instance, given a certain sample if the active learning algorithm is uncertain about the correct response it can send the sample to the human annotator. The annotator can then properly evaluate the image, label it correctly, and add it to the labeled data pool.   Works well with small datasets and models with fewer parameters.