Flipboard

NOVEMBER 17, 2023

MongoDB Atlas Vector Search uses a technique called k-nearest neighbors (k-NN) to search for similar vectors. k-NN works by finding the k most similar vectors to a given vector. Refer to Review knnVector Type Limitations for more information about the limitations of the knnVector type.

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K-nearest Neighbors AWS Clustering Database 126

AWS Machine Learning Blog

SEPTEMBER 8, 2023

For this post, you use the following: Name, Id, and Urls – The celebrity name, a unique Amazon Rekognition ID, and list of URLs such as the celebrity’s IMDb or Wikipedia link for further information. Using the k-nearest neighbors (k-NN) algorithm, you define how many images to return in your results.

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Pickl AI

JULY 17, 2023

Significantly, the technique allows the model to work independently by discovering its patterns and previously undetected information. It aims to partition a given dataset into K clusters, where each data point belongs to the cluster with the nearest mean. Therefore, it mainly deals with unlabelled data.

Machine Learning 52

Machine Learning Machine Learning K-nearest Neighbors Clustering 52

AWS Machine Learning Blog

APRIL 19, 2024

Solution overview The solution provides an implementation for answering questions using information contained in text and visual elements of a slide deck. Traditionally, RAG has been associated with textual data that can be processed by large language models (LLMs). I need numbers. Up to 4x higher throughput. billion parameters.

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AWS Machine Learning Blog

NOVEMBER 9, 2023

This benefits enterprise software development and helps overcome the following challenges: Sparse documentation or information for internal libraries and APIs that forces developers to spend time examining previously written code to replicate usage. For more information and to get started, visit the Amazon CodeWhisperer page.

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AWS Natural Language Processing K-nearest Neighbors AI 78

AWS Machine Learning Blog

DECEMBER 6, 2023

This method of enriching the LLM generation context with information retrieved from your internal data sources is called Retrieval Augmented Generation (RAG), and produces assistants that are domain specific and more trustworthy, as shown by Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks.

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SQL AWS Database Analytics 96

Mlearning.ai

FEBRUARY 15, 2023

Introduction In natural language processing, text categorization tasks are common (NLP). K-Nearest Neighbou r: The k-Nearest Neighbor algorithm has a simple concept behind it. The colour variation provides readers with visual information about the magnitude of quantitative numbers.

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Cross Validation Decision Trees Natural Language Processing Algorithm 52

AWS Machine Learning Blog

JUNE 3, 2024

It processes and generates information from distinct data types like text and images. For more information, refer to Amazon Titan Multimodal Embeddings G1 model. The following diagram visualizes the semantic search with natural language processing (NLP).

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AWS Machine Learning Blog

JANUARY 6, 2023

For more information about the natural language understanding-powered search functionalities of OpenSearch Service, refer to Building an NLU-powered search application with Amazon SageMaker and the Amazon OpenSearch Service KNN feature. For more information about the code sample in this post, see the GitHub repo.

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AWS Machine Learning Blog

FEBRUARY 10, 2023

To make the correct coverage identification, a multitude of information over time must be accounted for, including the way defenders lined up before the snap and the adjustments to offensive player movement once the ball is snapped. Advances in neural information processing systems 30 (2017). Attention is all you need.”

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ML ML Machine Learning Machine Learning 65

Google Research AI blog

NOVEMBER 28, 2022

Posted by Cat Armato, Program Manager, Google This week marks the beginning of the 36th annual Conference on Neural Information Processing Systems ( NeurIPS 2022 ), the biggest machine learning conference of the year. Arik , Deniz Yuret, Alper T.

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Machine Learning Machine Learning Clustering Algorithm 52