AWS Machine Learning Blog

MARCH 11, 2025

The growing need for cost-effective AI models The landscape of generative AI is rapidly evolving. Although GPT-4o has gained traction in the AI community, enterprises are showing increased interest in Amazon Nova due to its lower latency and cost-effectiveness. Each provisioned node was r7g.4xlarge, About FloTorch FloTorch.ai

K-nearest Neighbors 115

K-nearest Neighbors AWS Database AI 115

AWS Machine Learning Blog

DECEMBER 6, 2023

Conversational AI has come a long way in recent years thanks to the rapid developments in generative AI, especially the performance improvements of large language models (LLMs) introduced by training techniques such as instruction fine-tuning and reinforcement learning from human feedback.

SQL 128

SQL AWS Analytics Analytics 128

Flipboard

NOVEMBER 17, 2023

Generative AI models have the potential to revolutionize enterprise operations, but businesses must carefully consider how to harness their power while overcoming challenges such as safeguarding data and ensuring the quality of AI-generated content. k-NN works by finding the k most similar vectors to a given vector.

K-nearest Neighbors 156

K-nearest Neighbors AWS Clustering Database 156

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. For more information on managing credentials securely, see the AWS Boto3 documentation.

AWS 117

AWS Database K-nearest Neighbors AI 117

Towards AI

JULY 3, 2024

Author(s): Stephen Chege-Tierra Insights Originally published on Towards AI. Community & Support: Verify the availability of documentation and the level of community support. For geographical analysis, Random Forest, Support Vector Machines (SVM), and k-nearest Neighbors (k-NN) are three excellent methods.

K-nearest Neighbors 98

K-nearest Neighbors Machine Learning Machine Learning Algorithm 98

AWS Machine Learning Blog

NOVEMBER 15, 2024

This centralized system consolidates a wide range of data sources, including detailed reports, FAQs, and technical documents. The system integrates structured data, such as tables containing product properties and specifications, with unstructured text documents that provide in-depth product descriptions and usage guidelines.

Database 120

Database SQL K-nearest Neighbors Data Analysis 120

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 95

AWS K-nearest Neighbors Database AI 95

AWS Machine Learning Blog

FEBRUARY 25, 2025

AI now plays a pivotal role in the development and evolution of the automotive sector, in which Applus+ IDIADA operates. In this post, we showcase the research process undertaken to develop a classifier for human interactions in this AI-based environment using Amazon Bedrock.

Algorithm 91

Algorithm Machine Learning Machine Learning K-nearest Neighbors 91

Towards AI

APRIL 7, 2024

Author(s): Stephen Chege-Tierra Insights Originally published on Towards AI. Created by the author with DALL E-3 Statistics, regression model, algorithm validation, Random Forest, K Nearest Neighbors and Naïve Bayes— what in God’s name do all these complicated concepts have to do with you as a simple GIS analyst?

Machine Learning 100

Machine Learning Machine Learning K-nearest Neighbors Supervised Learning 100

Towards AI

NOVEMBER 6, 2024

Author(s): Nilesh Raghuvanshi Originally published on Towards AI. Improving Retrieval Augmented Generation (RAG) Systematically Evaluating the pipeline — AI generated image Introduction This is the third and final article in a short series on systematically improving retrieval-augmented generation (RAG).

K-nearest Neighbors 113

K-nearest Neighbors AI AI Machine Learning 113

Towards AI

JULY 15, 2024

Author(s): Stephen Chege-Tierra Insights Originally published on Towards AI. We shall look at various machine learning algorithms such as decision trees, random forest, K nearest neighbor, and naïve Bayes and how you can install and call their libraries in R studios, including executing the code.

Machine Learning 114

Machine Learning Machine Learning Algorithm K-nearest Neighbors 114

AWS Machine Learning Blog

SEPTEMBER 6, 2023

Generative AI is a type of AI that can create new content and ideas, including conversations, stories, images, videos, and music. With the advent of these LLMs or FMs, customers can simply build Generative AI based applications for advertising, knowledge management, and customer support.

AWS 130

AWS K-nearest Neighbors AI AI 130

Pickl AI

MARCH 26, 2024

The K Nearest Neighbors (KNN) algorithm of machine learning stands out for its simplicity and effectiveness. What are K Nearest Neighbors in Machine Learning? Definition of KNN Algorithm K Nearest Neighbors (KNN) is a simple yet powerful machine learning algorithm for classification and regression tasks.

K-nearest Neighbors 52

K-nearest Neighbors Machine Learning Machine Learning Algorithm 52

Pickl AI

JANUARY 21, 2025

k-Nearest Neighbors (k-NN) k-NN is a simple algorithm that classifies new instances based on the majority class among its k nearest neighbours in the training dataset. Example: Organising documents into a tree structure based on topic similarity for better information retrieval systems.

Machine Learning 52

Machine Learning Machine Learning Algorithm Decision Trees 52

Dataconomy

APRIL 4, 2023

LaMDA, GPT, and more… Nowadays, everyone talking about AI models and what they are capable of. The use of AI models is expanding rapidly across all industries. AI’s capacity to find solutions to difficult issues with minimal human input is a major selling point for the technology. What is an AI model?

K-nearest Neighbors 91

K-nearest Neighbors Decision Trees AI AI 91

Dataconomy

APRIL 4, 2023

LaMDA, GPT, and more… Nowadays, everyone talking about AI models and what they are capable of. The use of AI models is expanding rapidly across all industries. AI’s capacity to find solutions to difficult issues with minimal human input is a major selling point for the technology. What is an AI model?

K-nearest Neighbors 91

K-nearest Neighbors Decision Trees AI AI 91

AWS Machine Learning Blog

SEPTEMBER 8, 2023

OpenSearch Service allows you to store vectors and other data types in an index, and offers rich functionality that allows you to search for documents using vectors and measuring the semantical relatedness, which we use in this post. Using the k-nearest neighbors (k-NN) algorithm, you define how many images to return in your results.

K-nearest Neighbors 127

K-nearest Neighbors AWS ML ML 127

AWS Machine Learning Blog

AUGUST 26, 2024

At AWS, we are transforming our seller and customer journeys by using generative artificial intelligence (AI) across the sales lifecycle. Prospecting, opportunity progression, and customer engagement present exciting opportunities to utilize generative AI, using historical data, to drive efficiency and effectiveness.

AWS 130

AWS AI AI K-nearest Neighbors 130

AWS Machine Learning Blog

DECEMBER 10, 2024

We performed a k-nearest neighbor (k-NN) search to retrieve the most relevant embedding matching the question. With generative AI rapidly developing, there are several ways to improve the results and approach the problem. SlideVQA: A Dataset for Document Visual Question Answering on Multiple Images.

AWS 104

AWS K-nearest Neighbors Database ML 104

PyImageSearch

MAY 12, 2025

For example: Traditional Search: "A superhero film with an AI-powered villain" Doesnt match Avengers: Age of Ultron unless those exact words appear in the dataset. Semantic Search: "A superhero film with an AI-powered villain" Correctly retrieves Avengers: Age of Ultron , even if the description is phrased differently.

AWS 74

AWS K-nearest Neighbors Deep Learning Deep Learning 74

IBM Journey to AI blog

DECEMBER 20, 2023

That’s why diversifying enterprise AI and ML usage can prove invaluable to maintaining a competitive edge. ML is a computer science, data science and artificial intelligence (AI) subset that enables systems to learn and improve from data without additional programming interventions. What is machine learning?

Machine Learning 92

Machine Learning Machine Learning Supervised Learning Clustering 92

AWS Machine Learning Blog

NOVEMBER 9, 2023

Generative AI models for coding companions are mostly trained on publicly available source code and natural language text. Formally, often k-nearest neighbors (KNN) or approximate nearest neighbor (ANN) search is often used to find other snippets with similar semantics.

AWS 124

AWS Natural Language Processing K-nearest Neighbors Computer Science 124

Flipboard

MAY 5, 2025

Full-Text and Structured Search: Powers fast, scalable, and accurate search for e-commerce, enterprise search, and document retrieval systems. Hybrid Search: Combines BM25 (Best Match 25) keyword search with vector embeddings, balancing traditional and AI-powered search for precise, relevant results.

AWS 81

AWS Clustering Deep Learning Deep Learning 81

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. get('hits')[0].get('_source').get('image_path')

AWS 133

AWS ML K-nearest Neighbors ML 133

AWS Machine Learning Blog

APRIL 19, 2024

This solution includes the following components: Amazon Titan Text Embeddings is a text embeddings model that converts natural language text, including single words, phrases, or even large documents, into numerical representations that can be used to power use cases such as search, personalization, and clustering based on semantic similarity.

AWS 127

AWS ML ML Database 127

AWS Machine Learning Blog

JUNE 3, 2024

Amazon Bedrock is a fully managed service that provides access to a range of high-performing foundation models from leading AI companies through a single API. It offers the capabilities needed to build generative AI applications with security, privacy, and responsible AI. Victor Wang is a Sr.

AWS 125

AWS K-nearest Neighbors ML ML 125

ODSC - Open Data Science

JANUARY 5, 2024

It is easy to use, with a well-documented API and a wide range of tutorials and examples available. With the explosion of AI across industries TensorFlow has also grown in popularity due to its robust ecosystem of tools, libraries, and community that keeps pushing machine learning advances. What really makes Django are a few things.

Python 52

Python K-nearest Neighbors Data Science Data Visualization 52

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. For documentation on Planet’s SDK for Python, see Planet SDK for Python.

Machine Learning 136

Machine Learning Machine Learning ML ML 136

AWS Machine Learning Blog

JANUARY 6, 2023

OpenSearch Service offers kNN search, which can enhance search in use cases such as product recommendations, fraud detection, and image, video, and some specific semantic scenarios like document and query similarity. Solution overview.

AWS 101

AWS ML ML Machine Learning 101

Flipboard

FEBRUARY 7, 2025

DeepSeek-R1 is a powerful and cost-effective AI model that excels at complex reasoning tasks. This example provides a solution for enterprises looking to enhance their AI capabilities. You will create a connector to SageMaker with Amazon Titan Text Embeddings V2 to create embeddings for a set of documents with population statistics.

Database 74

Database AWS Python ML 74

AWS Machine Learning Blog

APRIL 5, 2023

Implementing this unified image and text search application consists of two phases: k-NN reference index – In this phase, you pass a set of corpus documents or product images through a CLIP model to encode them into embeddings. You save those embeddings into a k-NN index in OpenSearch Service.

ML 113

ML ML AWS K-nearest Neighbors 113

Pickl AI

SEPTEMBER 12, 2024

Artificial Intelligence (AI): A branch of computer science focused on creating systems that can perform tasks typically requiring human intelligence. J Jupyter Notebook: An open-source web application that allows users to create and share documents containing live code, equations, visualisations, and narrative text.

Data Analyst 52

Data Analyst Data Science Machine Learning Machine Learning 52

Mlearning.ai

JUNE 6, 2023

AI learns to play Flappy Bird Game So, in this blog, we will implement the Flappy Bird Game which will be played by an AI. AI learns to play Flappy Bird Game - Python Project 37. Document Scanner using OpenCV So guys, in this blog we will see how we can build a very simple yet powerful Document scanner using OpenCV.

Machine Learning 52

Machine Learning Machine Learning Python Deep Learning 52

DagsHub

DECEMBER 23, 2024

This allows organizations to grow their AI capabilities more efficiently without needing to rebuild their entire data collection and labeling process for each new use case.  They are: Based on shallow, simple, and interpretable machine learning models like support vector machines (SVMs), decision trees, or k-nearest neighbors (kNN).

Deep Learning 52

Deep Learning Deep Learning Supervised Learning Clustering 52

Flipboard

MAY 30, 2025

In this post, we show you how to use this connector to invoke the LangDetect API to detect the languages of ingested documents. The second connector we demonstrate is the Amazon Bedrock connector to invoke the Amazon Titan Text Embeddings v2 model so that you can create embeddings from ingested documents and perform semantic search.

ML 79

ML ML AWS K-nearest Neighbors 79

Google Research AI blog

NOVEMBER 28, 2022

Sara Mahdavi , Rapha Gontijo Lopes , Tim Salimans , Jonathan Ho , David J Fleet , Mohammad Norouzi EXPO Day Workshops Graph Neural Networks in Tensorflow: A Practical Guide Workshop Organizers include: Bryan Perozzi , Sami Abu-el-Haija A Hands-On Introduction to Tensorflow and Jax Workshop Organizers include: Josh Gordon Affinity Workshops LatinX in (..)

Machine Learning 52

Machine Learning Machine Learning Algorithm Clustering 52